Program Overview

Program Overview

The Computational Data Science MS program at Temple University is a 30-credit graduate program that provides students with a comprehensive education in computational data science.

Program Requirements

General Program Requirements

The program requires 30 credits beyond the baccalaureate degree.

Required Courses

The following courses are required:

• CIS 5511: Programming Techniques (3 credits)
• CIS 5515: Design and Analysis of Algorithms (3 credits)
• CIS 5526: Machine Learning (3 credits)
• Select one from the following:
  • CIS 5512: Operating Systems
  • CIS 5516: Principles of Data Management
  • CIS 5642: Computer Architecture

Electives

Students must select:

• At most three Big Data courses from the following:
  • CIS 5512: Operating Systems
  • CIS 5516: Principles of Data Management
  • CIS 5517: Data-Intensive and Cloud Computing
  • CIS 5590: Topics in Computer Science
  • CIS 5642: Computer Architecture
  • CIS 5643: Emerging Storage Systems and Technologies
  • CIS 5644: Distributed Systems
  • CIS 9665: Advanced Topics in Data Base Systems
• At most three Data Analysis courses from the following:
  • CIS 5523: Knowledge Discovery and Data Mining
  • CIS 5524: Analysis and Modeling of Social and Information Networks
  • CIS 5525: Neural Computation
  • CIS 5535: Probabilistic Graph Models
  • CIS 5538: Text Mining and Language Processing
  • CIS 5543: Computer Vision
  • CIS 5603: Artificial Intelligence
• At most two Statistics and domain-related courses (requires approval from the student's advisor)
• At most one CIS course numbered less than 5500 (requires approval from the student's advisor)
• At most three credits of Independent Study: CIS 9282: Independent Study

Capstone Course

Students must complete a capstone project under the supervision of CIS graduate faculty. The capstone project can be completed in one of two ways:

• CIS 9995: Capstone Project (3-6 credits)
• CIS 9996: Master's Thesis Research (6 credits)

Culminating Event

The culminating event for the program is the completion of a capstone project or master's thesis. The capstone project is designed to demonstrate the student's ability to apply the knowledge and skills gained in the program to a real-world problem. The master's thesis is an original research project that contributes to the field of computational data science.