Graduate: MA Program

Concentration in Mathematical Foundations of Data Science

Data Science

Highlights

  • Get an edge in your career.
  • Learn the math behind cutting-edge data science methods.
  • Develop skills for:
    • Technology and Business Intelligence
    • Banking and Finance
    • Health Care and Medical Industry
    • Government Agencies
  • Choose electives for your career from:
    • Mathematics
    • Statistics
    • Computer Science
    • Economics
    • Informatics and Analytics
    • Cultural Analytics
    • Geographic Information Systems
    • Bioinformatics
    • Information Systems and Supply Chain Management
  • 1.5 year and 2 year programs offered

Students sought

  • Bachelors in mathematics, statistics, computer sciences and other quantitative fields
  • Students interested in pursuing a career in data science

Click here to apply now!

Deadlines
Spring: Nov. 15th
Fall: Jul. 1st


10 courses required

 

  • 4 core courses
    • MAT 653 Mathematical Data Science I – Foundations
    • MAT 654 Mathematical Data Science II – Machine Learning
    • STA 622 Complex Data Analysis
    • MAT 651/STA 648 Topological Data Analysis
  • 1 project
    • MAT 687/STA 698 Project with University Researchers or Industry Partners
  • 5 electives (listed below)
    • Choose electives tailored to your field.
    • Many exciting Mathematical Data Science electives and interdisciplinary data science electives offered.

Year 1 – Breadth and Foundational Courses

Fall 1:

  • MAT 653 Mathematical Data Science I – Foundations
  • STA 622 Complex Data Analysis
  • Elective

Spring 1:

  • MAT 654 Mathematical Data Science II – Machine Learning
  • MAT 651 Topological Data Analysis
  • Elective

Year 2 – Specialization and Project

Fall 2:

  • Elective
  • Elective
  • Elective or Project

Spring 2:

  • Elective or Project
  • Optional Elective
  • Optional Elective

Year 1 – Breadth and Foundational Courses

Fall 1:

  • MAT 653 Mathematical Data Science I – Foundations
  • STA 622 Complex Data Analysis
  • Elective

Spring 1:

  • MAT 654 Mathematical Data Science II – Machine Learning
  • MAT 651/STA 648 Topological Data Analysis
  • Elective

Summer 1: Elective or project

Year 2 – Specialize and Project

Fall 2:

  • Elective
  • Elective
  • Elective or project

Mathematical Data Science Electives

  • MAT 628 Linear Programming and Optimization
  • MAT 632 Introduction to Graph Theory
  • MAT 751 Topological Data Analysis
  • MAT 749 The Mathematics of Machine Learning
  • STA 642/IAA 621 Statistical Computing
  • STA 670/ IAA 623 Categorical Data Analysis
  • STA 703 Topics in High Dimensional Data Analysis (prereqs)
  • Upcoming Bayesian statistics course
  • CSC 605 Data Science
  • CSC 610/IAC 622 Big Data and Machine Learning
  • CSC 611 Advanced Data Science
  • CSC 622 Advanced Digital Image Processing
  • CSC 625 Bioinformatics
  • CSC 654/IAC 620 Algorithm Analysis and Design

Applied Data Science Electives

  • ECO  – Economics
    • ECO 625 Data Methods in Economics
    • ECO 663 Predictive Data Mining
    • ECO 664 Time Series and Forecasting
  • ERM – Educational Research Methodology
    • ERM 675 Data Visualization and Presentation
  • IAA – Advanced Data Analytics
    • IAA 621 Statistical Computing
    • IAA 622 Complex Data Analysis
    • IAA 623 Categorical Data Analysis
  • IAB – Bioinformatics
    • IAB 620 Introduction to Bioinformatics
    • IAB 621 Bioinformatics
    • IAB 622 Advanced Bioinformatics
  • IAC – Computational Analytics
    • IAC 620 Algorithm Analysis and Design
    • IAC 621 Data Science
    • IAC 622 Big Data and Machine Learning
  • IAF – Information and Analytics
    • IAF 601 Introduction to Data Analytics-Methods and Approaches
    • IAF 602 Statistical Methods for Data Analytics
    • IAF 603 Preparing Data for Analytics
    • IAF 604 Machine Learning and Predictive Analytics
    • IAF 605 Data Visualization
    • IAF 606 Solving Problems with Data Analytics
  • IAG – Geospatial Analytics
    • IAG 620 Understanding Geographic Information Systems
    • IAG 624 Advanced Remote Sensing-Imaging
    • IAG 625 Spatial Analysis
  • IAL – Cultural Analytics
    • IAL 620 Text Mining and Natural Language Processing
    • IAL 621 Content Analysis for Social Network Data
  • ISM – Information Systems and Operations Management
    • ISM 645 Principles of Predictive Analytics
    • ISM 646 Visualizing Data to Design Strategy
    • ISM 647 Cognitive Computing and Artificial Intelligence Applications for Business
    • ISM 671 Organizing Data for Analytics

Contact: Haimeng Zhang, Graduate Program Director
h_zhang5@uncg.edu
336-256-8550