MS in Data Science (DA only)

 Entry requirements
 Postgraduate
 Standard GPP: 2-Quarter

• TOEFL (iBT) 70 overall
• IELTS 6.0 overall
• Pearson (PTE) 48-52
• Pearson Versant Not Accepted
• Duolingo 95
• Graduate GPA Requirements: GGP: 2.8 for Kellstadt Graduate School of Business (2.5 for MS Business Analytics); 2.5 for College of Computing and Digital Media;
• Up to 12 credits toward degree

Extended GPP: 3-Quarter

• TOEFL (iBT) 60 overall
• IELTS 5.5 overall
• Pearson (PTE) 44-47
• Pearson Versant NOT ACCEPTED
• Duolingo 90
• Graduate GPA Requirements: GGP: 2.8 for Kellstadt Graduate School of Business (2.5 for MS Business Analytics); 2.5 for College of Computing and Digital Media;
  Up to 12 credits toward degree

Pre-Sessional English: 1-Quarter Extended GGP

• TOEFL (iBT) 55 overall
• IELTS 5.0 overall
• Pearson (PTE) 42-43
• Pearson Versant 61-64 (no subscore below 37)
• Duolingo 85
• Graduate GPA Requirements: GGP: 2.8 for Kellstadt Graduate School of Business (2.5 for MS Business Analytics); 2.5 for College of Computing and Digital Media;
  Up to 12 credits toward degree

Pre-Sessional English: 2-Quarter Extended GGP

• TOEFL (iBT) 50 overall
• IELTS 4.5 overall
• Pearson (PTE) 37-41
• Pearson Versant 58-60 (no subscore below 35)
• Duolingo 80
• Graduate GPA Requirements: GGP: 2.8 for Kellstadt Graduate School of Business (2.5 for MS Business Analytics); 2.5 for College of Computing and Digital Media;
  Up to 12 credits toward degree

Pre-Sessional English: 3-Quarter Extended GGP

• TOEFL (iBT) 40 overall
• IELTS 4.0 overall
• Pearson (PTE) 30-36
• Pearson Versant 47-57
• Duolingo 70
• Graduate GPA Requirements: GGP: 2.8 for Kellstadt Graduate School of Business (2.5 for MS Business Analytics); 2.5 for College of Computing and Digital Media;
  Up to 12 credits toward degree

Pre-Sessional English: 4-Quarter Extended GGP

• TOEFL (iBT) 32 overall
• IELTS 3.5 overall
• Pearson (PTE) Not Accepted
• Pearson Versant 36-46
• Duolingo 65
• Graduate GPA Requirements: GGP: 2.8 for Kellstadt Graduate School of Business (2.5 for MS Business Analytics); 2.5 for College of Computing and Digital Media;
  Up to 12 credits toward degree

Curriculum Requirements
Introductory Courses

• It 403 Statistics And Data Analysis
• Csc 412 Tools And Techniques For Computational Analysis
• Csc 401 Introduction To Programming

Foundation Courses

• Dsc 450 Database Processing For Large-Scale Analytics
• Dsc 423 Data Analysis And Regression
• Dsc 424 Advanced Data Analysis
• Dsc 430 Python Programming
• Dsc 441 Fundamentals Of Data Science

Students Must Take 1 Course In Applied Analytics Chosen Among:

• Dsc 465 Data Visualization
• Dsc 480 Social Network Analysis

Advanced Courses

• Dsc 478 Programming Machine Learning Applications
• Csc 555 Mining Big Data
• Dsc 540 Advanced Machine Learning
• Students Must Take 1 Course Among The Following:
• Csc 521 Monte Carlo Algorithms
• Csc 575 Intelligent Information Retrieval
• Csc 578 Neural Networks And Deep Learning

Elective Courses

Students Must Take 8 Credit Hours From Graduate Level Elective Courses In The Areas Of Statistical Modeling, Data Mining Or Database Technologies. Students Must Choose Electives From The Following List Of Courses:

• Dsc 425 Time Series Analysis And Forecasting
• Dsc 433 Scripting For Data Analysis
• Csc 452 Database Programming
• Dsc 465 Data Visualization
• Dsc 478 Programming Machine Learning Applications
• Csc 481 Introduction To Image Processing
• Csc 482 Applied Image Analysis
• Dsc 480 Social Network Analysis
• Dsc 484 Web Data Mining
• Csc 521 Monte Carlo Algorithms
• Csc 528 Computer Vision
• Dsc 510 Health Data Science
• Dsc 540 Advanced Machine Learning
• Csc 543 Spatial Databases And Geographic Information Systems
• Cmns 549 Special Topics In Organizational Communication
• Csc 555 Mining Big Data
• Csc 575 Intelligent Information Retrieval
• Csc 576 Computational Advertising
• Csc 577 Recommender Systems
• Csc 578 Neural Networks And Deep Learning
• Csc 594 Topics In Artificial Intelligence
• Csc 598 Topics In Data Analysis
• Dsc 484 Web Data Mining
• Geo 441 Geographic Information Systems (Gis) For Community Development
• Geo 442 Geographical Information Systems (Gis) For Sustainable Urban Development
• Gph 565 Designing For Visualization
• Hci 512 Information Visualization And Infographics
• Ipd 451 Big Data And Nosql Program
• Is 549 Data Warehousing
• Is 550 Enterprise Data Management
• Is 574 Business Intelligence And Analytics Systems
• Is 578
• Mgt 559 Health Sector Management
• Mgt 798 Topic: Managerial & Marketing Epidemiology
• Mkt 555 Marketing Management
• Mkt 530 Customer Relationship Management
• Mkt 534 Analytical Tools For Marketers
• Mkt 595 Internet And Interactive Marketing
• Mkt 570 Topic: Service Design & Patient Experience
• Mkt 798 Topic: Health Care Data Analysis
• Course Is Not Currently Offered Online.

Note: Student Must Take Only Sections Of Mgt 798 And Mkt 798 With The Topic Specified Above.

Capstone Options

• Students Have The Option Of Completing A Real World Data Analytics Project, Or Completing The Predictive Analytics Capstone Course, Or Participating In An Analytics Internship Or Completing A Master's Thesis To Fulfill Their Capstone

 Requirement.

• Show/Hide All
• Data Analytics Project
• Data Science Capstone Course
• Analytics Internship
• Master's Thesis

• Graduate
•  Extended GGP (3 quarter) $22,269 CDM (College of Computing and Digital Media) 
• $24,921 KGSB (Kellstadt Graduate School of Business) 
• Standard GGP (2 quarter) $18,566 CDM (College of Computing and Digital Media) 
• $21,212 KGSB (Kellstadt Graduate School of Business) 
• Pre-Sessional English (1-2 Quarters) $3,703 per quarter
•  Direct Admission (varies by program) $21,859 - $35,597 
• Estimated Room, Board & Fees $11,251 - $16,877
•  Graduate Pathway Scholarship available upto $4,000
•  Graduate Direct Admission Scholarships available upto $5,000 KGSB (Kellstadt Graduate School of Business) 
• *Direct Admission Scholarship is available in each year.