Master of Science in Data Science
The Department of Data Science at FTC Middletown currently offers an undergraduate Bachelor of Science in Data Science program. It seeks to further its academic offerings with more advanced level courses in data science and provide students and faculty with the opportunity to conduct academic research. A Master’s program in Data Science allows us to achieve this.
The master program is designed to provide a continuation of advanced topics in data science beyond the undergraduate curriculum. The program is intended for students who wish to obtain a systematic training in Data Science at an advanced level. It is also well suited for working professionals in the field who wish to engage in more in-depth study of data science.
The Master of Science in Data Science program seeks to equip students with advanced theories and methods of data science, with the ability to apply their knowledge and methods to solve practical problems.
- To enable students to develop in-depth understanding of the key theories and technologies in data science, including, but not limited to statistical theory and methods, data mining, machine learning, visualization techniques, and predictive modeling.
- To enable students to gain fluency in statistical programming languages and big data tools through coursework, projects, and applied research.
- To equip students with the ability and professionalism to carry out problem analysis, solution finding and decision-making in the real world.
The MS in Data Science is a 31-semester credit curriculum with three major components: core requirements, electives, and a capstone project.
Curriculum Structure for MS in Data Science
|Data Management and Visualization||3|
|Total Required Credits for Graduation||31|
Program Requirements (31 Credits)
The program requirements are comprised of statistics, data analytical tools, electives, and a capstone project.
Required Courses for MS in Data Science
Core Requirements (15 cr)
Exploratory Data Analysis and Visualization
Modern Applied Statistical Learning
Data Mining for Business
Electives (12 cr, Select four courses from the following)
Computer Vision and Natural Language Processing
Cloud Computing and Big Data
Sample Survey and Customer Analytics
Applied Machine Learning
Design and Analysis of Experiments and Quality Control
Total Credits Required for Graduation
The academic requirements for graduation are the successful completion of the curriculum with a grade point average of no less than 3.0. In addition, a graduate must have taken at least 50% of all courses from FTC Middletown.