MS in Data Science (DA only)

DePaul University - ISC, United States

ms-in-data-science-da-only

Next enrollment cycle

June 2022

See all cycles

First Year Course Fee

USD 35,597

Course Accredited By

HLC

  • 2 Years
  • On Campus
  • Postgraduate
  • Degree
  • Up to 7% scholarship
The data science master’s will provide you with the technical knowledge and advanced computational skills to meet emerging challenges in big data analytics.
  • With on-campus and online classroom learning formats, you can launch a career in data science with extraordinary faculty members—anytime, anywhere. Our online learning program replicates the classroom experience with 100 percent access to software, faculty advisors, career services, and a large network of alumni. Discover how you can manage and analyze complex data, develop data science models to support decision making, and effectively communicate analytical results to a non-technical audience.

Enrollment Cycles

  • June 2022
  • September 2022

 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.

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