MS in Data Scienc (DA only)

DePaul University-International Study Centre, United States

ms-in-data-scienc-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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