This dual degree program awards an M.S. in Statistical Science and an M.S. in Data science. It is recommended for students who have a background in statistics and also want to acquire deep computational skills.
You’ll earn two degrees in fewer credit hours and less time than it would take to earn them separately.
Program overview
How it works
You need to apply and be admitted by both the data science and statistics admission committees.
Combining the degrees means you can graduate with 52 credit hours, instead of the 61 credit hours it would take to earn the degrees separately.
Academic requirements
Students need to fulfill the following requirements.
Data Mining and Search (3 credits)
CSCI-B 551 : Elements of Artificial Intelligence
CSCI-B 555 : Machine Learning
CSCI-B 565 : Data Mining
CSCI-P 556 : Applied Machine Learning
ENGR-E 511 : Machine Learning for Signal Processing
ILS-Z 534 : Search
INFO-I 606 : Network Science
Data Management and Engineering (3 credits)
CSCI-B 561 : Advanced Database Concepts
ENGR-E 516 : Engineering Cloud Computing
INFO-I 535 : Management, Access, and Use of Big and Complex Data
DSCI-D 532 : Applied Database Technologies
Data Visualization and Storytelling (3 credits)
ENGR-E 583 : Information Visualization
ENGR-E 584 : Scientific Visualization
INFO-I 590 : Data Visualization
Graduate level Luddy courses (18 credits)
No more than 12 credits from STAT courses
At most 3 credits of DSCI-D 590 Data Science On-Ramp
All 4 of the following courses (13 credits)
STAT-S 520 : Introduction to Statistics or a more advanced course on statistical theory approved by the DGS
STAT-S 631 : Applied Linear Models I
STAT-S 632 : Applied Linear Models II
STAT-S 690 : Statistical Consulting
One of the following courses (3 credits)
STAT-S 610 : Introduction to Statistical Computing
STAT-S 611 : Applied Statistical Computing
STAT-S 612 : Reproducible Results and the Workflow of Data Analysis
Any STAT graduate level course (3 credits)
6 credits of one the following domains
INFO-I 590 : Topics in Informatics
Artificial Life in Virtual Reality
Building Virtual Worlds
Creating Virtual Assets
Introduction to Virtual Reality
INFO-I 520 : Security for Networked Systems
INFO-I 525 : Organizational Informatics and Economic Security
INFO-I 533 : Systems and Protocol Security and Information Assurance
INFO-I 538 : Introduction to Cryptography
ECON-M 504
ECON-M 511
ECON-M 514
ECON-M 518
ECON-M 524
INFO-I 507
INFO-I 519 : Introduction to Bioinformatics
INFO-I 529 : Machine Learning Bioinformatics
CSCI-B 657 : Computer Vision
ENGR-E 599 : Autonomous Robotics
INFO-I 513 : Usable Artificial Intelligence
INFO-I 527
INFO-I 540
INFO-I 542
ENGR-E 583 : Information Visualization (may be counted only once)
ILS-Z 639 : Social Media Mining
INFO-I 513 : Usable Artificial Intelligence
INFO-I 590 : Data Visualization (may be counted only once)
INFO-I 606 : Network Science (may be counted only once)
Degree maps
Below are several sample degree paths students could take.
Typical degree map
This is the typical degree map students would follow for the dual degree.
Example only
Year
Fall
Spring
First
STAT S520 Introduction to Statistics
DS DME Requirement
DS Domain 1
STAT S670 Exploratory Data Analysis
DS DMS Requirement
DS Domain 2
Second
STAT S631 Applied Linear Models
DS DVS Requirement
DS Elective
STAT S632 Applied Linear Models II
DS Elective
DS or STAT Elective
Third
STAT S610 Introduction to Statistical Computing
STAT S690 Statistical Consulting
DS or STAT Elective
DS or STAT Elective
DS or STAT Elective
Adding applied statistics later
This degree map is for students who start in the data science program and later decide to add on the applied statistics M.S.
Example only
Year
Fall
Spring
First
DS DME Requirement
DS DVS Requirement
DS Elective
DS DMS Requirement
DS Domain 1
DS Elective
Second
STAT S631 Applied Linear Models
STAT S520 Introduction to Statistics
DS Domain 2
STAT S632 Applied Linear Models II
STAT S670 Exploratory Data Analysis
DS or STAT Elective
Third
STAT S610 Introduction to Statistical Computing
STAT S690 Statistical Consulting
DS or STAT Elective
DS or STAT Elective
DS or STAT Elective
Data Science Program resources and social media channels
