College of Arts & Sciences
Master of Science in Data Science & Analytics
Master of Science in Data Science & Analytics

Concentrations

You can explore your interests and specialize your knowledge by choosing one of five concentrations offered by the M.S. in Data Science & Analytics program. You’ll complete your concentration through the required 15 elective credits.

Choose your academic focus

Artificial Intelligence (A.I.)

This is an official concentration that will appear on your transcript.

Focus on developing algorithms that can learn from data and make predictions, and prepare to join the growing field of artificial intelligence.

  • DSAN 6600: Neural Networks and Deep Learning
  • DSAN 6650: Reinforcement Learning
  • DSAN 6500: Computer Vision or DSAN 6850: NLP w/ Large Language Models
  • DSAN 6725: Applied Generative AI for AI Developers

You will select one of these electives to complete the concentration:  

  • DSAN 5400: Computational Linguistics – Advanced Python
  • DSAN 6100: Optimization
  • DSAN 6400: Network Analytics
  • DSAN 5600: Applied Time Series for Data Science
  • DSAN 5800: Advanced Natural Language Processing
  • DSAN 6550: Adaptive Measurement with AI
  • DSAN 7000: Advanced Research Methodologies (Capstone Project)

Natural Language Processing (NLP)

This is an informal academic track.

Specialize in analyzing and processing human language data by studying key topics, including text mining, speech recognition, deep learning, machine translation, sentiment analysis and large language models (LLMs).

We recommend you complete these courses in this chronological order: 

  • DSAN 5400: Computational Linguistics – Advanced Python
  • DSAN 6600: Neural Networks and Deep Learning
  • DSAN 5800: Advanced Natural Language Processing
  • DSAN 6850: NLP with Large Language Models

You will select one of these electives to complete the concentration:  

  • DSAN 5600: Applied Time Series for Data Science
  • DSAN 6100: Optimization
  • DSAN 6650: Reinforcement Learning
  • DSAN 7000: Advanced Research Methodologies (Capstone Project)

Data Visualization and Communication

This is an informal academic track.

Master the creation and presentation of visual representations of data while growing your knowledge of data storytelling, information design and advanced visualization techniques.

  • DSAN 5900: Digital Storytelling
  • DSAN 6750: Geographic Information Systems (GIS) and Applications
  • DSAN 5450: Data Ethics or DSAN 6700: ML App Deployment (or both)

You will select two of these electives to complete the concentration: 

  • DSAN 5600: Applied Time Series for Data Science
  • DSAN 6300: Database Systems and SQL
  • DSAN 5700: Blockchain Technologies for Data Science
  • DSAN 5500: Data Structures, Objects, and Algorithms in Python

Financial

This is an informal academic track.

Understand the key role of data science in the finance industry, including roles such as financial analysts or risk managers in banking, business and tech. You’ll learn how to analyze complex financial data to help organizations make informed decisions to optimize performance.

  • DSAN 5600: Applied Time Series for Data Science
  • DSAN 6600: Neural Networks and Deep Learning
  • DSAN 5700: Blockchain Technologies for Data Science

You will select one of these electives to complete the concentration:  

  • DSAN 5450: Ethics or DSAN 6700: ML App Deployment
  • DSAN 5900: Digital Storytelling
  • DSAN 6300: Database Systems and SQL
  • DSAN 6850: NLP with Large Language Models

Generalist

This is an informal academic track.

You aren’t required to choose a specific concentration; instead, you can “mix and match” electives to best suit your academic interests. You’ll get general exposure to the field, covering data collection, analysis, visualization, machine learning, Natural Language Processing (NLP) and big data technologies.

  • Year 1 Fall Elective:
    • DSAN 6300: Database Systems and SQL
  • Year 1 Spring Elective:
    • DSAN 5500: Data Structures, Objects, and Algorithms in Python or
    • DSAN 5400: Computational Linguistics – Advanced Python
  • Year 2 Fall Electives:
    • DSAN 6600: Neural Networks and Deep Learning
    • DSAN 6700: Machine Learning App Deployment
  • Year 2 Spring Elective:
    • DSAN 5900: Digital Storytelling

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Find out how our M.S. in Data Science & Analytics program can accelerate your career and help you embark on an exciting new data science and analytics path.

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