Starting in Fall 2026
Join a Cutting Edge Profession
A degree in Data Analytics and AI opens up a wealth of exciting career opportunities in today’s data-driven world. Graduates can pursue roles such as Data Analyst, Business Analyst, Data Scientist, Machine Learning Engineer, AI Engineer, among others. These professionals play pivotal roles in various industries, including healthcare, finance, e-commerce, and technology, by leveraging data to inform decision-making, develop predictive models, and drive innovation. With the ever-increasing demand for data-driven insights, the career prospects for individuals with expertise in Data Analytics and AI are boundless.
The U.S. Bureau of Labor has predicted a 34% growth in jobs for Data Scientists and a 20% growth in Computer and Information Research Scientists jobs from 2024 to 2034. Glassdoor.com has listed Data Scientist and Machine Learning Engineer among the top 6 best jobs in the U.S. for the last couple years based on salary ($120,000-130,000 median salary) and job satisfaction with 10,000+ job openings.
According to a report by LinkedIn in 2020, the number of AI job postings on LinkedIn has grown by 74% in the past four years. Massachusetts is one of the top states for AI related job postings. This trend is expected to continue as the use of AI and machine learning becomes more widespread across various industries.
This program is designed to meet the increasing workforce demand for professionals with skills in data analytics and artificial intelligence, emphasizing both technical skills and ethical responsibility. Data Analytics is an interdisciplinary field that uses scientific, mathematical, computational, and business analytic methods to process and analyze data. This innovative program will be of interest to students from many different backgrounds and undergraduate majors, including computer science, data science, biological sciences and biotechnology, business, social science research, and healthcare. The Data Analytics and AI MS graduates will be well-prepared to contribute to a wide range of industries, including finance, healthcare, insurance, marketing, and technology, among others.
The program is asynchronous online in an 8 week format
Learning Outcomes
Upon completion of this program, students will be able to:
- Integrate data analytics into strategic business decisions
- Conduct risk assessment using analytical models
- Apply advanced analytical and statistical techniques to explore and interpret complex data sets.
- Use advanced data analysis, visualization, and modeling tools such as spreadsheets, Python coding, and business intelligence software, to analyze and interpret data for decision-making.
- Integrate ethical and responsible use of AI and data in developing solutions.
- Effectively communicate data insights to various stakeholders.
Curriculum
Click to view course requirements for the Masters in Data Analytics and AI.
The master’s program consists of 10 courses (30 credits), 8 of which will combine required courses from the Business and NSMT divisions as follows: 3 courses from the Business division, 1 math course, 3 courses from CIT, and 1 capstone project course where students will be able to showcase what they have learned by completing a data analytics and modeling project. Students will choose two additional courses from a focus area. Courses will be asynchronous online in an 8-week format so that full-time students can finish the program in one year by taking two 8-week courses at a time, with 4 courses in the fall (2 in Fall 1 and 2 in Fall 2), 4 courses in the spring, and 2 courses in the summer.
10 course (30 credits) MS in Data Analytics and AI requirements:
| Course # | Course Name | # of Credit Hours |
|---|---|---|
| BUS 6340 | Business Analytics and Decision Making | 3 |
| BUS 6525 | Marketing Analytics and Data-Driven Decisions | 3 |
| BUS 6530 | Project Risk Analytics | 3 |
| CIT 5003 | Python Coding with Ethical AI Tools | 3 |
| MAT 5105 | Probability and Statistics | 3 |
| CIT 5100 | Intro. to Data Analytics and Visualization | 3 |
| CIT 5710 | Adv. Data Analytics & Modeling | 3 |
| CIT 6105 | Data Capstone Project | 3 |
Electives (choose 2 courses)
Computer Science, Machine Learning and AI Focus Area: (choose 2 courses)
| Course # | Course Name | # of Credit Hours |
|---|---|---|
| CIT 5110 | Artificial Intelligence | 3 |
| CIT 5720 | Machine Learning | 3 |
| CIT 5420 | Virtualization & Cloud Computing | 3 |
| CIT 5900 | Special Topics | 3 |
Business Focus Area: (choose 2 courses)
| Course # | Course Name | # of Credit Hours |
|---|---|---|
| CIT 5015 | Databases | 3 |
| BUS 6000 | Managerial Finance | 3 |
| BUS 6505 | Project Management | 3 |