Statistical Science (STSCI)Engineering

Showing 51 results.

Course descriptions provided by the 2025-2026 Catalog.

STSCI 2100

Statistics is about understanding the world through data. We are surrounded by data, so there is a lot to understand. Covers data exploration and display, data gathering methods, probability, and statistical ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ILRST 2100

  • 4 Credits GradeNoAud

  • 13469 STSCI 2100   LEC 001

    • TR
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

    Beginning with the first day of classes Industrial and Labor Relations (ILR) students must get permission to drop from an advisor in the ILR Office of Student Services.
    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  • 13470 STSCI 2100   DIS 201

    • F
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

  • 13471 STSCI 2100   DIS 202

    • F
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

  • 13472 STSCI 2100   DIS 203

    • F
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

  • 13473 STSCI 2100   DIS 204

    • F
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

  • 13474 STSCI 2100   DIS 205

    • F
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

  • 13475 STSCI 2100   DIS 206

    • F
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

  • 13476 STSCI 2100   DIS 207

    • F
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

  • 13477 STSCI 2100   DIS 208

    • F
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

  • 13478 STSCI 2100   DIS 209

    • F
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

  • 13479 STSCI 2100   DIS 210

    • F
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

  • 13480 STSCI 2100   DIS 211

    • F
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

  • 13481 STSCI 2100   DIS 212

    • F
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

  • 13482 STSCI 2100   DIS 213

    • F
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

  • 13483 STSCI 2100   DIS 214

    • R
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

  • 13484 STSCI 2100   DIS 215

    • R
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

  • 13485 STSCI 2100   DIS 216

    • F
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

  • 13486 STSCI 2100   DIS 217

    • F
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

  • 13487 STSCI 2100   DIS 218

    • F
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

  • 13488 STSCI 2100   DIS 219

    • F
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

  • 13489 STSCI 2100   DIS 220

    • F
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

  • 13490 STSCI 2100   DIS 221

    • F
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

STSCI 2110

A second course in statistics that emphasizes applications to the social sciences. Topics include simple linear regression, multiple linear regression (theory, model building, and model diagnostics), and ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ILRST 2110ILRST 5110STSCI 5110

  • 4 Credits GradeNoAud

  • 13496 STSCI 2110   LEC 001

    • TR
    • Jan 20 - May 5, 2026
    • Packard, K

  • Instruction Mode: In Person

    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  • 13497 STSCI 2110   DIS 201

    • F
    • Jan 20 - May 5, 2026
    • Packard, K

  • Instruction Mode: In Person

  • 13498 STSCI 2110   DIS 202

    • R
    • Jan 20 - May 5, 2026
    • Packard, K

  • Instruction Mode: In Person

  • 13499 STSCI 2110   DIS 203

    • F
    • Jan 20 - May 5, 2026
    • Packard, K

  • Instruction Mode: In Person

  • 13500 STSCI 2110   DIS 204

    • F
    • Jan 20 - May 5, 2026
    • Packard, K

  • Instruction Mode: In Person

STSCI 2130

This seven week, two-credit class will cover the regression requirements, hypothesis tests, and interpretation of results. Students will learn to identify the data necessary to perform a regression analysis, ... view course details

View Enrollment Information

Syllabi: none
  •   Seven Week - First.  Choose one lecture and one project. Combined with: ILRST 2130

  • 2 Credits GradeNoAud

  • 13707 STSCI 2130   LEC 001

    • MW
    • Jan 20 - Mar 10, 2026
    • Packard, K

  • Instruction Mode: In Person

    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  • 13518 STSCI 2130   PRJ 601

    • Jan 20 - Mar 10, 2026
    • Packard, K

  • Instruction Mode: In Person

STSCI 2150

This course provides an introduction to data analysis and statistical inference illustrated with biological applications. The computer labs will teach graphical analysis and statistical computation using ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: STSCI 5150

  • 4 Credits Stdnt Opt

  • 17218 STSCI 2150   LEC 001

    • MWF
    • Jan 20 - May 5, 2026
    • Smith, M

  • Instruction Mode: In Person

    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  • 17219 STSCI 2150   DIS 201

    • R
    • Jan 20 - May 5, 2026
    • Smith, M

  • Instruction Mode: In Person

  • 17220 STSCI 2150   DIS 202

    • R
    • Jan 20 - May 5, 2026
    • Smith, M

  • Instruction Mode: In Person

  • 17221 STSCI 2150   DIS 203

    • F
    • Jan 20 - May 5, 2026
    • Smith, M

  • Instruction Mode: In Person

  • 17222 STSCI 2150   DIS 204

    • F
    • Jan 20 - May 5, 2026
    • Smith, M

  • Instruction Mode: In Person

  • 17223 STSCI 2150   DIS 205

    • R
    • Jan 20 - May 5, 2026
    • Smith, M

  • Instruction Mode: In Person

STSCI 3080

This course provides an introduction to probability and parametric inference. Topics include: random variables, standard distributions, the law of large numbers, the central limit theorem, likelihood-based ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: BTRY 3080ILRST 3080STSCI 5080

  • 4 Credits Stdnt Opt

  • 17176 STSCI 3080   LEC 001

    • MW
    • Jan 20 - May 5, 2026
    • El Alaoui, A

  • Instruction Mode: In Person

    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  • 17177 STSCI 3080   DIS 201

    • T
    • Jan 20 - May 5, 2026
    • El Alaoui, A

  • Instruction Mode: In Person

  • 17178 STSCI 3080   DIS 202

    • R
    • Jan 20 - May 5, 2026
    • El Alaoui, A

  • Instruction Mode: In Person

STSCI 3110

This course provides an introduction to probability and parametric inference. Topics include: random variables, standard distributions, the law of large numbers, the central limit theorem, likelihood-based ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ECON 3110ILRST 3110

  • 4 Credits Graded

  •  4675 STSCI 3110   LEC 001

    • TR
    • Jan 20 - May 5, 2026
    • McKee, D

  • Instruction Mode: In Person

  •  4676 STSCI 3110   DIS 201

    • F
    • Jan 20 - May 5, 2026
    • Staff

  • Instruction Mode: In Person

  •  4677 STSCI 3110   DIS 202

    • F
    • Jan 20 - May 5, 2026
    • Staff

  • Instruction Mode: In Person

  •  4678 STSCI 3110   DIS 203

    • F
    • Jan 20 - May 5, 2026
    • Staff

  • Instruction Mode: In Person

  •  4679 STSCI 3110   DIS 204

    • F
    • Jan 20 - May 5, 2026
    • Staff

  • Instruction Mode: In Person

STSCI 3200

Applies linear statistical methods to quantitative problems addressed in biological and environmental research. Methods include linear regression, inference, model assumption evaluation, the likelihood ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: BTRY 3020BTRY 5020STSCI 5201

  • 4 Credits Stdnt Opt

  • 17052 STSCI 3200   LEC 001

    • TR
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  • 17053 STSCI 3200   DIS 201

    • F
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

  • 17054 STSCI 3200   DIS 202

    • F
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

  • 17055 STSCI 3200   DIS 203

    • F
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

  • 17056 STSCI 3200   DIS 204

    • F
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

STSCI 3510

Uses basic concepts and techniques of random processes to construct models for a variety of problems of practical interest. Topics include: the Poisson process, Markov chains, renewal theory, models for ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ORIE 3510ORIE 5510

  • 4 Credits Stdnt Opt

  • 18284 STSCI 3510   LEC 001

    • TR
    • Jan 20 - May 5, 2026
    • Scully, Z

  • Instruction Mode: In Person

  • 18285 STSCI 3510   DIS 201

    • M
    • Jan 20 - May 5, 2026
    • Scully, Z

  • Instruction Mode: In Person

  • 18286 STSCI 3510   DIS 202

    • M
    • Jan 20 - May 5, 2026
    • Scully, Z

  • Instruction Mode: In Person

  • 18287 STSCI 3510   DIS 203

    • T
    • Jan 20 - May 5, 2026
    • Scully, Z

  • Instruction Mode: In Person

  • 18288 STSCI 3510   DIS 204

    • W
    • Jan 20 - May 5, 2026
    • Scully, Z

  • Instruction Mode: In Person

  • 18289 STSCI 3510   DIS 205

    • F
    • Jan 20 - May 5, 2026
    • Scully, Z

  • Instruction Mode: In Person

STSCI 3740

We start off with a detailed refresher for Linear Regression. We then turn to popular methods for classification including Logistic Regression and Discriminant Analysis. Finally, we consider more advanced ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one project. Combined with: STSCI 5740

  • 4 Credits Stdnt Opt

  • 17188 STSCI 3740   LEC 001

    • TR
    • Jan 20 - May 5, 2026
    • Ning, Y

  • Instruction Mode: In Person

    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  • 17189 STSCI 3740   PRJ 601

    • Jan 20 - May 5, 2026
    • Ning, Y

  • Instruction Mode: In Person

STSCI 4090

Introduction to classical theory of parametric statistical inference that builds on the material covered in BTRY 3080. Topics include: sampling distributions, principles of data reduction, likelihood, ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: BTRY 4090BTRY 5090MATH 4720STSCI 5090

  • 4 Credits Graded

  • 17057 STSCI 4090   LEC 001

    • MW
    • Jan 20 - May 5, 2026
    • Wegkamp, M

  • Instruction Mode: In Person

    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  • 17058 STSCI 4090   DIS 202

    • F
    • Jan 20 - May 5, 2026
    • Wegkamp, M

  • Instruction Mode: In Person

  • 17059 STSCI 4090   DIS 203

    • F
    • Jan 20 - May 5, 2026
    • Wegkamp, M

  • Instruction Mode: In Person

STSCI 4100

This course is on the basics of multivariate statistical analysis. The focus ison the applied side, and the students will learn by examples of multiple real-life datasets. Studentswill learn to visualize ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Combined with: BTRY 4100ILRST 4100STSCI 5111

  • 4 Credits Stdnt Opt

  • 17044 STSCI 4100   LEC 001

    • MW
    • Jan 20 - May 5, 2026
    • Yang, D

  • Instruction Mode: In Person

    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

STSCI 4520

This course is designed to provide students with an introduction to statistical computing. The class will cover the basics of programming; numerical methods for optimization and linear algebra and their ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: STSCI 5520

  • 4 Credits Stdnt Opt

  • 17174 STSCI 4520   LEC 001

    • TR
    • Jan 20 - May 5, 2026
    • Kent, D

  • Instruction Mode: In Person

    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  • 17175 STSCI 4520   DIS 201

    • F
    • Jan 20 - May 5, 2026
    • Kent, D

  • Instruction Mode: In Person

STSCI 4550

Introduces statistical tools for the analysis of time-dependent data. Data analysis and application will be an integral part of this course. Topics include linear, nonlinear, seasonal, multivariate modeling, ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ILRST 4550ORIE 5550STSCI 5550

  • 4 Credits Opt NoAud

  • 17140 STSCI 4550   LEC 001

    • W
    • Jan 20 - May 5, 2026
    • Matteson, D

  • Instruction Mode: In Person

    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  • 17141 STSCI 4550   DIS 201

    • F
    • Jan 20 - May 5, 2026
    • Matteson, D

  • Instruction Mode: In Person

STSCI 4720

Neural networks form the backbone of modern artificial intelligence methodologies. This course will survey various neural networks architectures with a heavy emphasis on practical application to their ... view course details

View Enrollment Information

Syllabi: none
  •   Seven Week - First.  Combined with: STSCI 5720

  • 2 Credits Opt NoAud

  • 18323 STSCI 4720   LEC 001

    • TR
    • Jan 20 - Mar 10, 2026
    • Simonis, Q

  • Instruction Mode: In Person

    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

STSCI 4725

Statistical learning methods based on decision trees are flexible and intuitive solutions to classification and regression problems, which nevertheless are straightforward to interpret. This course will ... view course details

View Enrollment Information

Syllabi: none
  •   Seven Week - Second.  Combined with: STSCI 5725

  • 2 Credits Stdnt Opt

  • 18303 STSCI 4725   LEC 001

    • TR
    • Mar 11 - May 5, 2026
    • Kent, D

  • Instruction Mode: In Person

    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

STSCI 4780

Bayesian data analysis uses probability theory as a kind of calculus of inference, specifying how to quantify and propagate uncertainty in data-based chains of reasoning. Students will learn the fundamental ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one laboratory. Combined with: STSCI 5780

  • 4 Credits Stdnt Opt

  • 17236 STSCI 4780   LEC 001

    • TR
    • Jan 20 - May 5, 2026
    • Kowal, D

  • Instruction Mode: In Person

    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  • 17237 STSCI 4780   LAB 401

    • F
    • Jan 20 - May 5, 2026
    • Kowal, D

  • Instruction Mode: In Person

STSCI 4850

In this course students will learn about the consulting process using data science. They will understand how statistics and data science knowledge can be applied to real world questions starting ... view course details

View Enrollment Information

Syllabi: none
  •   Seven Week - Second.  Choose one lecture and one project.

  • 2 Credits GradeNoAud

  • 17279 STSCI 4850   LEC 001

    • W
    • Mar 11 - May 5, 2026
    • Das, S

  • Instruction Mode: In Person

    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  • 17280 STSCI 4850   PRJ 601

    • Mar 11 - May 5, 2026
    • Das, S

  • Instruction Mode: In Person

STSCI 4970

Students assist in teaching a course appropriate to their previous training. Students meet with a discussion or laboratory section and regularly discuss objectives with the course instructor. view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Sat/Unsat

  • 17225 STSCI 4970   IND 601

    • Jan 20 - May 5, 2026
    • Wells, M

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Sat/Unsat

  • 17226 STSCI 4970   IND 602

    • Jan 20 - May 5, 2026
    • Smith, M

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Sat/Unsat

  • 17227 STSCI 4970   IND 603

    • Jan 20 - May 5, 2026
    • Diciccio, T

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Sat/Unsat

  • 17228 STSCI 4970   IND 604

    • Jan 20 - May 5, 2026
    • Packard, K

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Sat/Unsat

  • 17229 STSCI 4970   IND 605

    • Jan 20 - May 5, 2026
    • Matteson, D

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Sat/Unsat

  • 17230 STSCI 4970   IND 606

    • Jan 20 - May 5, 2026
    • Guinness, J

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Sat/Unsat

  • 17231 STSCI 4970   IND 607

    • Jan 20 - May 5, 2026
    • Basu, S

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Sat/Unsat

  • 17232 STSCI 4970   IND 608

    • Jan 20 - May 5, 2026
    • Karns, M

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Sat/Unsat

  • 17233 STSCI 4970   IND 609

    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: Independent Studies

STSCI 4980

Problem solving sessions to prepare students for the first four actuarial examinations (probability, financial mathematics, statistical modeling, and risk management). view course details

View Enrollment Information

Syllabi: none
  •   Project Session Full.  Combined with: STSCI 5980

  • 2 Credits Sat/Unsat

  • 17224 STSCI 4980   PRJ 601

    • Jan 20 - May 5, 2026
    • Wells, M

  • Instruction Mode: In Person

    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

STSCI 4981

This practicum course provides an applied framework for understanding and implementing data analytics within the sport industry. Students will engage in individual or collaborative projects addressing ... view course details

View Enrollment Information

Syllabi: none
  •   Seven Week - Second.  Combined with: STSCI 5981

  • 2 Credits Opt NoAud

  • 18301 STSCI 4981   PRJ 601

    • TR
    • Mar 11 - May 16, 2026
    • Wells, M

  • Instruction Mode: In Person

    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

STSCI 4990

Course consists of individual tutorial study selected by faculty. Because topics usually change year to year this course may be repeated for credit. view course details

View Enrollment Information

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 17190 STSCI 4990   IND 601

    • Jan 20 - May 5, 2026
    • Wells, M

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 17191 STSCI 4990   IND 602

    • Jan 20 - May 5, 2026
    • Ruppert, D

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 17192 STSCI 4990   IND 603

    • Jan 20 - May 5, 2026
    • Booth, J

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 17193 STSCI 4990   IND 604

    • Jan 20 - May 5, 2026
    • Diciccio, T

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 17194 STSCI 4990   IND 605

    • Jan 20 - May 5, 2026
    • Kuceyeski, A

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 17195 STSCI 4990   IND 607

    • Jan 20 - May 5, 2026
    • Basu, S

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 17196 STSCI 4990   IND 608

    • Jan 20 - May 5, 2026
    • Lu, H

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 17197 STSCI 4990   IND 609

    • Jan 20 - May 5, 2026
    • Ning, Y

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 17198 STSCI 4990   IND 610

    • Jan 20 - May 5, 2026
    • Wegkamp, M

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 17199 STSCI 4990   IND 611

    • Jan 20 - May 5, 2026
    • Wang, Y

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 17200 STSCI 4990   IND 612

    • Jan 20 - May 5, 2026
    • Molinari, F

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 17201 STSCI 4990   IND 613

    • Jan 20 - May 5, 2026
    • Smith, M

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 17202 STSCI 4990   IND 614

    • Jan 20 - May 5, 2026
    • Staff

  • Instruction Mode: Independent Studies

STSCI 4995

Students planning internships related to Statistics and Data Science are encouraged to enroll in the departmental internship course. view course details

View Enrollment Information

Syllabi: none
  •   Project Session Full.  Combined with: STSCI 5995

  • 1 Credit Sat/Unsat

  • 17254 STSCI 4995   IND 601

    • Jan 20 - May 5, 2026
    • Das, S

  • Instruction Mode: Independent Studies

STSCI 4999

Research at the undergraduate level. view course details

View Enrollment Information

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 17171 STSCI 4999   RSC 701

    • Jan 20 - May 5, 2026
    • Wells, M

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 17172 STSCI 4999   RSC 702

    • Jan 20 - May 5, 2026
    • Diciccio, T

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 17173 STSCI 4999   RSC 703

    • Jan 20 - May 5, 2026
    • Matteson, D

  • Instruction Mode: Directed Research

STSCI 5010

This course teaches the basics of SAS (Statistical Analysis System) programming and the SAS Enterprise Miner software. This course is composed two modules. The first module, in the first 12 weeks, covers ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one project.

  • 4 Credits Stdnt Opt

  • 17144 STSCI 5010   LEC 001

    • MWF
    • Jan 20 - May 5, 2026
    • Yang, X

  • Instruction Mode: In Person

    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  • 17145 STSCI 5010   PRJ 601

    • Jan 20 - May 5, 2026
    • Yang, X

  • Instruction Mode: In Person

STSCI 5065

Concepts, challenges, and industry trends of big data, with a focus on the Hadoop system. Topics include: basics of the Apache Hadoop platform and Hadoop ecosystem; the Hadoop distributed file system (HDFS); ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session. 

  • 3 Credits Opt NoAud

  • 17238 STSCI 5065   LEC 001

    • MWF
    • Jan 20 - May 5, 2026
    • Yang, X

  • Instruction Mode: In Person

    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/
    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

STSCI 5080

This course provides an introduction to probability and parametric inference. Topics include: random variables, standard distributions, the law of large numbers, the central limit theorem, likelihood-based ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: BTRY 3080ILRST 3080STSCI 3080

  • 4 Credits Stdnt Opt

  • 17185 STSCI 5080   LEC 001

    • MW
    • Jan 20 - May 5, 2026
    • El Alaoui, A

  • Instruction Mode: In Person

    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  • 17186 STSCI 5080   DIS 201

    • T
    • Jan 20 - May 5, 2026
    • El Alaoui, A

  • Instruction Mode: In Person

  • 17187 STSCI 5080   DIS 202

    • R
    • Jan 20 - May 5, 2026
    • El Alaoui, A

  • Instruction Mode: In Person

STSCI 5090

Introduction to classical theory of parametric statistical inference that builds on the material covered in BTRY 3080. Topics include sampling distributions, principles of data reduction, likelihood, parameter ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: BTRY 4090BTRY 5090MATH 4720STSCI 4090

  • 4 Credits Graded

  • 17259 STSCI 5090   LEC 001

    • MW
    • Jan 20 - May 5, 2026
    • Wegkamp, M

  • Instruction Mode: In Person

    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  • 17260 STSCI 5090   DIS 202

    • F
    • Jan 20 - May 5, 2026
    • Wegkamp, M

  • Instruction Mode: In Person

  • 17261 STSCI 5090   DIS 203

    • F
    • Jan 20 - May 5, 2026
    • Wegkamp, M

  • Instruction Mode: In Person

STSCI 5110

Second course in statistics that emphasizes applications to the social sciences. Topics include simple linear regression, multiple linear regression (theory, model building, and model diagnostics), and ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ILRST 2110ILRST 5110STSCI 2110

  • 4 Credits GradeNoAud

  • 13511 STSCI 5110   LEC 001

    • TR
    • Jan 20 - May 5, 2026
    • Packard, K

  • Instruction Mode: In Person

    Prerequisite: ILRST 2100 or ILRST 5100 or equivalent.
    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  • 13512 STSCI 5110   DIS 201

    • F
    • Jan 20 - May 5, 2026
    • Packard, K

  • Instruction Mode: In Person

  • 13513 STSCI 5110   DIS 202

    • R
    • Jan 20 - May 5, 2026
    • Packard, K

  • Instruction Mode: In Person

  • 13514 STSCI 5110   DIS 203

    • F
    • Jan 20 - May 5, 2026
    • Packard, K

  • Instruction Mode: In Person

  • 13515 STSCI 5110   DIS 204

    • F
    • Jan 20 - May 5, 2026
    • Packard, K

  • Instruction Mode: In Person

STSCI 5111

This course is on the basics of multivariate statistical analysis. The focus ison the applied side, and the students will learn by examples of multiple real-life datasets. Studentswill learn to visualize ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Combined with: BTRY 4100ILRST 4100STSCI 4100

  • 4 Credits Stdnt Opt

  • 17277 STSCI 5111   LEC 001

    • MW
    • Jan 20 - May 5, 2026
    • Yang, D

  • Instruction Mode: In Person

    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

STSCI 5150

This course provides an introduction to data analysis and statistical inference illustrated with biological applications. The computer labs will teach graphical analysis and statistical computation using ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: STSCI 2150

  • 4 Credits Stdnt Opt

  • 17246 STSCI 5150   LEC 001

    • MWF
    • Jan 20 - May 5, 2026
    • Smith, M

  • Instruction Mode: In Person

    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  • 17247 STSCI 5150   DIS 201

    • R
    • Jan 20 - May 5, 2026
    • Smith, M

  • Instruction Mode: In Person

  • 17248 STSCI 5150   DIS 202

    • R
    • Jan 20 - May 5, 2026
    • Smith, M

  • Instruction Mode: In Person

  • 17249 STSCI 5150   DIS 203

    • F
    • Jan 20 - May 5, 2026
    • Smith, M

  • Instruction Mode: In Person

  • 17250 STSCI 5150   DIS 204

    • F
    • Jan 20 - May 5, 2026
    • Smith, M

  • Instruction Mode: In Person

  • 17251 STSCI 5150   DIS 205

    • R
    • Jan 20 - May 5, 2026
    • Smith, M

  • Instruction Mode: In Person

STSCI 5201

Applies linear statistical methods to quantitative problems addressed in biological and environmental research. Methods include linear regression, inference, model assumption evaluation, the likelihood ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: BTRY 3020BTRY 5020STSCI 3200

  • 4 Credits Stdnt Opt

  • 17272 STSCI 5201   LEC 001

    • TR
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  • 17273 STSCI 5201   DIS 201

    • F
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

  • 17274 STSCI 5201   DIS 202

    • F
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

  • 17275 STSCI 5201   DIS 203

    • F
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

  • 17276 STSCI 5201   DIS 204

    • F
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

STSCI 5520

This course is designed to provide students with an introduction to statistical computing. The class will cover the basics of programming; numerical methods for optimization and linear algebra and their ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: STSCI 4520

  • 4 Credits Stdnt Opt

  • 17265 STSCI 5520   LEC 001

    • TR
    • Jan 20 - May 5, 2026
    • Kent, D

  • Instruction Mode: In Person

    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  • 17266 STSCI 5520   DIS 201

    • F
    • Jan 20 - May 5, 2026
    • Kent, D

  • Instruction Mode: In Person

STSCI 5550

Introduces statistical tools for the analysis of time-dependent data. Data analysis and application will be an integral part of this course. Topics include linear, nonlinear, seasonal, multivariate modeling, ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ILRST 4550ORIE 5550STSCI 4550

  • 4 Credits Opt NoAud

  • 17242 STSCI 5550   LEC 001

    • W
    • Jan 20 - May 5, 2026
    • Matteson, D

  • Instruction Mode: In Person

    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  • 17243 STSCI 5550   DIS 201

    • F
    • Jan 20 - May 5, 2026
    • Matteson, D

  • Instruction Mode: In Person

STSCI 5640

Regression, ARIMA, GARCH, stochastic volatility, and factor models. Calibration of financial engineering models, estimation of diffusion models, estimation of risk measures, multivariate models and copulas, ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ORIE 5640

  • 4 Credits Graded

  • 13597 STSCI 5640   LEC 001

    • TR
    • Jan 20 - May 5, 2026
    • Ruppert, D

  • Instruction Mode: In Person

  • 13598 STSCI 5640   DIS 201

    • F
    • Jan 20 - May 5, 2026
    • Ruppert, D

  • Instruction Mode: In Person

STSCI 5720

Neural networks form the backbone of modern artificial intelligence methodologies. This course will survey various neural networks architectures with a heavy emphasis on practical application to their ... view course details

View Enrollment Information

Syllabi: none
  •   Seven Week - First.  Combined with: STSCI 4720

  • 2 Credits Opt NoAud

  • 18324 STSCI 5720   LEC 001

    • TR
    • Jan 20 - Mar 10, 2026
    • Simonis, Q

  • Instruction Mode: In Person

    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

STSCI 5725

Statistical learning methods based on decision trees are flexible and intuitive solutions to classification and regression problems, which nevertheless are straightforward to interpret. This course will ... view course details

View Enrollment Information

Syllabi: none
  •   Seven Week - Second.  Combined with: STSCI 4725

  • 2 Credits Stdnt Opt

  • 18304 STSCI 5725   LEC 001

    • TR
    • Mar 11 - May 5, 2026
    • Kent, D

  • Instruction Mode: In Person

    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

STSCI 5740

We start off with a detailed refresher for Linear Regression. We then turn to popular methods for classification including Logistic Regression and Discriminant Analysis. Finally, we consider more advanced ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one project. Combined with: STSCI 3740

  • 4 Credits Stdnt Opt

  • 17252 STSCI 5740   LEC 001

    • TR
    • Jan 20 - May 5, 2026
    • Ning, Y

  • Instruction Mode: In Person

    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  • 17253 STSCI 5740   PRJ 601

    • Jan 20 - May 5, 2026
    • Ning, Y

  • Instruction Mode: In Person

STSCI 5780

Bayesian data analysis uses probability theory as a kind of calculus of inference, specifying how to quantify and propagate uncertainty in data-based chains of reasoning. Students will learn the fundamental ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one laboratory. Combined with: STSCI 4780

  • 4 Credits Stdnt Opt

  • 17262 STSCI 5780   LEC 001

    • TR
    • Jan 20 - May 5, 2026
    • Kowal, D

  • Instruction Mode: In Person

    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  • 17263 STSCI 5780   LAB 401

    • F
    • Jan 20 - May 5, 2026
    • Kowal, D

  • Instruction Mode: In Person

STSCI 5955

This course is designed to run in parallel to STSCI 5999 (Applied Statistics MPS Data Analysis Project) and is a required part of the final-semester client project for MPS students. In this course students ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session. 

  • 1 Credit Graded

  • 17278 STSCI 5955   LEC 001

    • M
    • Jan 20 - May 5, 2026
    • Das, S

  • Instruction Mode: In Person

    Corequisite: STSCI 5999.
    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

STSCI 5980

Problem solving sessions to prepare students for the first four actuarial examinations (probability, financial mathematics, statistical modeling, and risk management). view course details

View Enrollment Information

Syllabi: none
  •   Project Session Full.  Combined with: STSCI 4980

  • 2 Credits Sat/Unsat

  • 17264 STSCI 5980   PRJ 601

    • Jan 20 - May 5, 2026
    • Wells, M

  • Instruction Mode: In Person

    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

STSCI 5981

This practicum course provides an applied framework for understanding and implementing data analytics within the sport industry. Students will engage in individual or collaborative projects addressing ... view course details

View Enrollment Information

Syllabi: none
  •   Seven Week - Second.  Combined with: STSCI 4981

  • 2 Credits Opt NoAud

  • 18302 STSCI 5981   PRJ 601

    • TR
    • Mar 11 - May 16, 2026
    • Wells, M

  • Instruction Mode: In Person

    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

STSCI 5990

For individual or group research projects conducted under the direction of a member of STSCI faculty or instructors in a special area of statistical science that is not covered by regular course ... view course details

View Enrollment Information

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 17146 STSCI 5990   RSC 701

    • Jan 20 - May 5, 2026
    • Yang, X

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 17147 STSCI 5990   RSC 703

    • Jan 20 - May 5, 2026
    • Wells, M

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 17148 STSCI 5990   RSC 704

    • Jan 20 - May 5, 2026
    • Matteson, D

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 17149 STSCI 5990   RSC 705

    • Jan 20 - May 5, 2026
    • Guinness, J

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 17150 STSCI 5990   RSC 706

    • Jan 20 - May 5, 2026
    • Basu, S

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 17151 STSCI 5990   RSC 707

    • Jan 20 - May 5, 2026
    • Ruppert, D

  • Instruction Mode: Directed Research

STSCI 5995

Students planning internships related to Statistics and Data Science are encouraged to enroll in the departmental internship course. view course details

View Enrollment Information

Syllabi: none
  •   Project Session Full.  Combined with: STSCI 4995

  • 1 Credit Sat/Unsat

  • 17255 STSCI 5995   IND 601

    • Jan 20 - May 5, 2026
    • Das, S

  • Instruction Mode: Independent Studies

STSCI 5999

It is a long-term, in-depth statistical analysis of real-world dataset using various statistical methods and computer packages (such as SAS, R, SPSS, etc.). Students work in teams to solve business, managerial ... view course details

View Enrollment Information

Syllabi: none
  •   Project Session Full. 

  • 4 Credits Graded

  • 17204 STSCI 5999   RSC 701

    • Jan 20 - May 5, 2026
    • Booth, J

  • Instruction Mode: Directed Research

    Enrollment limited to: students currently enrolled in Master of Professional Studies (MPS) in Applied Statistics. Prerequisite: STSCI 4030, STSCI 5010 and STSCI 5080.

Syllabi: none
  •   Project Session Full. 

  • 4 Credits Graded

  • 17205 STSCI 5999   RSC 702

    • Jan 20 - May 5, 2026
    • Basu, S

  • Instruction Mode: Directed Research

    Enrollment limited to: students currently enrolled in Master of Professional Studies (MPS) in Applied Statistics.

Syllabi: none
  •   Project Session Full. 

  • 4 Credits Graded

  • 17206 STSCI 5999   RSC 703

    • Jan 20 - May 5, 2026
    • Kuceyeski, A

  • Instruction Mode: Directed Research

    Enrollment limited to: students currently enrolled in Master of Professional Studies (MPS) in Applied Statistics.

Syllabi: none
  •   Project Session Full. 

  • 4 Credits Graded

  • 17207 STSCI 5999   RSC 704

    • Jan 20 - May 5, 2026
    • Matteson, D

  • Instruction Mode: Directed Research

    Enrollment limited to: students currently enrolled in Master of Professional Studies (MPS) in Applied Statistics.

Syllabi: none
  •   Project Session Full. 

  • 4 Credits Graded

  • 17208 STSCI 5999   RSC 705

    • Jan 20 - May 5, 2026
    • Ning, Y

  • Instruction Mode: Directed Research

    Enrollment limited to: students currently enrolled in Master of Professional Studies (MPS) in Applied Statistics.

Syllabi: none
  •   Project Session Full. 

  • 4 Credits Graded

  • 17209 STSCI 5999   RSC 706

    • Jan 20 - May 5, 2026
    • El Alaoui, A

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 4 Credits Graded

  • 17210 STSCI 5999   RSC 711

    • Jan 20 - May 5, 2026
    • Yang, D

  • Instruction Mode: Directed Research

    Enrollment limited to: students currently enrolled in Master of Professional Studies (MPS) in Applied Statistics.

Syllabi: none
  •   Project Session Full. 

  • 4 Credits Graded

  • 17211 STSCI 5999   RSC 713

    • Jan 20 - May 5, 2026
    • Wells, M

  • Instruction Mode: Directed Research

    Enrollment limited to: students currently enrolled in Master of Professional Studies (MPS) in Applied Statistics.

Syllabi: none
  •   Project Session Full. 

  • 4 Credits Graded

  • 17212 STSCI 5999   RSC 717

    • Jan 20 - May 5, 2026
    • Diciccio, T

  • Instruction Mode: Directed Research

    Enrollment limited to: students currently enrolled in Master of Professional Studies (MPS) in Applied Statistics.

Syllabi: none
  •   Project Session Full. 

  • 4 Credits Graded

  • 17213 STSCI 5999   RSC 719

    • Jan 20 - May 5, 2026
    • Yang, X

  • Instruction Mode: Directed Research

    Enrollment limited to: students currently enrolled in Master of Professional Studies (MPS) in Applied Statistics.

Syllabi: none
  •   Project Session Full. 

  • 4 Credits Graded

  • 17214 STSCI 5999   RSC 720

    • Jan 20 - May 5, 2026
    • Smith, M

  • Instruction Mode: Directed Research

    Enrollment limited to: students currently enrolled in Master of Professional Studies (MPS) in Applied Statistics.

Syllabi: none
  •   Project Session Full. 

  • 4 Credits Graded

  • 17215 STSCI 5999   RSC 721

    • Jan 20 - May 5, 2026
    • Das, S

  • Instruction Mode: Directed Research

    Enrollment limited to: students currently enrolled in Master of Professional Studies (MPS) in Applied Statistics.

Syllabi: none
  •   Project Session Full. 

  • 4 Credits Graded

  • 17216 STSCI 5999   RSC 722

    • Jan 20 - May 5, 2026
    • Kato, K

      Wang, Y

  • Instruction Mode: Directed Research

    Enrollment limited to: students currently enrolled in Master of Professional Studies (MPS) in Applied Statistics.

Syllabi: none
  •   Project Session Full. 

  • 4 Credits Graded

  • 17217 STSCI 5999   RSC 723

    • Jan 20 - May 5, 2026
    • Ruppert, D

  • Instruction Mode: Directed Research

STSCI 6020

Continuation of BTRY 6010. Emphasizes the use of multiple regression analysis, analysis of variance, and related techniques to analyze data in a variety of situations. Topics include an introduction to ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one laboratory. Combined with: BTRY 6020

  • 4 Credits Stdnt Opt

  • 17105 STSCI 6020   LEC 001

    • MW
    • Jan 20 - May 5, 2026
    • Simonis, Q

  • Instruction Mode: In Person

    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  • 17106 STSCI 6020   LAB 401

    • M
    • Jan 20 - May 5, 2026
    • Simonis, Q

  • Instruction Mode: In Person

  • 17107 STSCI 6020   LAB 402

    • T
    • Jan 20 - May 5, 2026
    • Simonis, Q

  • Instruction Mode: In Person

STSCI 6730

This class will cover fundamental concepts in mathematical statistics, including both finite sample and asymptotic theory. Specific topics include: elements of risk optimality, Cramer-Rao-type bounds; ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Combined with: MATH 6730

  • 3 Credits Opt NoAud

  • 17234 STSCI 6730   LEC 001

    • T
    • Jan 20 - May 5, 2026
    • Bunea, F

  • Instruction Mode: In Person

    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

STSCI 6750

This course will discuss several probabilistic results and techniques that are useful in mathematical statistics. Limit theorems and stochastic inequalities are two key components of the course. Topics ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session. 

  • 3 Credits Stdnt Opt

  • 17241 STSCI 6750   LEC 001

    • MW
    • Jan 20 - May 5, 2026
    • Kato, K

  • Instruction Mode: In Person

    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

STSCI 6940

Topics are arranged at the beginning of the semester for individual study or for group discussions. Or, students may elect to undertake a project in statistics. The work is supervised by a professor in ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Stdnt Opt

  • Topic: Robust Causal Inference with Machine Learning

  • 17203 STSCI 6940   LEC 001

    • TR
    • Mar 11 - May 5, 2026
    • Bradic, J

  • Instruction Mode: In Person

    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

STSCI 6970

Individual tutorial study selected by the faculty. Because topics usually change from year to year, this course may be repeated for credit. view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session. 

  • 3 Credits Stdnt Opt

  • 17239 STSCI 6970   IND 601

    • Jan 20 - May 5, 2026
    • Wegkamp, M

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Regular Academic Session. 

  • 3 Credits Stdnt Opt

  • 17240 STSCI 6970   IND 602

    • Jan 20 - May 5, 2026
    • Kuceyeski, A

  • Instruction Mode: Independent Studies

STSCI 7999

Research at the Ph.D. Level. view course details

View Enrollment Information

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  • 17152 STSCI 7999   RSC 701

    • Jan 20 - May 5, 2026
    • Wells, M

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  • 17153 STSCI 7999   RSC 703

    • Jan 20 - May 5, 2026
    • Matteson, D

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  • 17154 STSCI 7999   RSC 704

    • Jan 20 - May 5, 2026
    • Bunea, F

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  • 17155 STSCI 7999   RSC 707

    • Jan 20 - May 5, 2026
    • Staff

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  • 17156 STSCI 7999   RSC 708

    • Jan 20 - May 5, 2026
    • Ruppert, D

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  • 17157 STSCI 7999   RSC 709

    • Jan 20 - May 5, 2026
    • Booth, J

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  • 17158 STSCI 7999   RSC 713

    • Jan 20 - May 5, 2026
    • Diciccio, T

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  • 17159 STSCI 7999   RSC 715

    • Jan 20 - May 5, 2026
    • Wegkamp, M

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  • 17160 STSCI 7999   RSC 716

    • Jan 20 - May 5, 2026
    • Guinness, J

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  • 17161 STSCI 7999   RSC 717

    • Jan 20 - May 5, 2026
    • Basu, S

  • Instruction Mode: Directed Research

STSCI 9999

Doctoral Level Dissertation Research. view course details

View Enrollment Information

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  • 17162 STSCI 9999   RSC 701

    • Jan 20 - May 5, 2026
    • Wells, M

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  • 17163 STSCI 9999   RSC 703

    • Jan 20 - May 5, 2026
    • Matteson, D

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  • 17164 STSCI 9999   RSC 704

    • Jan 20 - May 5, 2026
    • Bunea, F

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  • 17165 STSCI 9999   RSC 707

    • Jan 20 - May 5, 2026
    • Ruppert, D

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  • 17166 STSCI 9999   RSC 708

    • Jan 20 - May 5, 2026
    • Guinness, J

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  • 17167 STSCI 9999   RSC 709

    • Jan 20 - May 5, 2026
    • Booth, J

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  • 17168 STSCI 9999   RSC 711

    • Jan 20 - May 5, 2026
    • Wegkamp, M

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  • 17169 STSCI 9999   RSC 715

    • Jan 20 - May 5, 2026
    • Basu, S

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  • 17170 STSCI 9999   RSC 716

    • Jan 20 - May 5, 2026
    • Diciccio, T

  • Instruction Mode: Directed Research