Master of Professional Studies in Analytics

18 Months On Campus Masters Program

Northeastern University

Program Overview

The Master of Professional Studies (MPS) in Analytics at Northeastern University is a STEM-designated graduate program designed for students who want to develop advanced analytical, technical, and business decision-making skills. The program combines applied statistics, data analytics, business intelligence, machine learning, data visualization, enterprise analytics, and data governance, preparing graduates to transform complex datasets into actionable insights and support strategic decisions across industries such as finance, healthcare, technology, consulting, and business management.

Curriculum Structure

Program Duration: 12–18 Months

The program requires 34 semester hours and includes core courses, restricted electives, a concentration or elective option, and a capstone project. Students develop practical analytical skills through subjects such as Introduction to Applied Statistics, Foundations of Data Analytics, Intermediate Analytics, Introduction to Enterprise Analytics, and Communication and Visualization with Data. Students can also select a concentration in Applied Machine Intelligence, Evidence-Based Management, Insurance Analytics, or Statistical Modeling.

First Year: Students establish a foundation in statistics, data management, analytical methods, and business applications. Courses such as Introduction to Applied Statistics introduce statistical reasoning and quantitative analysis, while Foundations of Data Analytics develops skills in collecting, processing, and interpreting data. Students also study Intermediate Analytics, Introduction to Enterprise Analytics, and Communication and Visualization with Data, learning to translate analytical findings into meaningful business recommendations.

Second Year: Students advance their expertise through specialized electives and concentration courses. Depending on their chosen pathway, they may study Applied Artificial Intelligence, Applied Natural Language Processing, Applied Computer Vision, Data Mining Applications, Decision Support and Business Intelligence, Data Warehousing and Querying, Big Data and Cloud Computing, or Programming for Data Science. Students also complete the Capstone project, applying their analytical knowledge to practical organizational challenges and developing a professional portfolio of work.

Focus Areas

Applied Data Analytics, Business Analytics, Applied Statistics, Statistical Modeling, Machine Learning, Artificial Intelligence, Business Intelligence, Enterprise Analytics, Data Mining, Data Visualization, Data Communication, Big Data Analytics, Cloud Computing, Database Management, Data Warehousing, Natural Language Processing, Computer Vision, Data Governance, Business Process Management, Decision Support Systems, Predictive Analytics.

Learning Outcomes

Graduates develop the ability to collect, organize, analyze, and interpret complex datasets using statistical and computational techniques. They gain practical skills in machine learning, business intelligence, predictive analytics, data visualization, database management, and enterprise analytics. Students also learn to communicate data-driven insights, recommend solutions to organizational challenges, apply ethical data governance practices, and support strategic decision-making through analytical evidence. The program further develops leadership, professional communication, and project management capabilities through experiential learning and capstone projects.

Professional Alignment (Accreditation)

The Master of Professional Studies in Analytics is a STEM-designated graduate degree. The university's official program information does not specify a separate professional accreditation for this degree. However, the curriculum emphasizes industry-oriented learning through a required credit-bearing experiential component, organizational projects, professional portfolio development, and a capstone project. Students can also pursue optional co-op experiences to gain practical workplace exposure and strengthen their professional networks.

Reputation (Employability Rankings)

Northeastern University is recognized for its experiential learning model, industry partnerships, and emphasis on connecting academic education with professional practice. The MPS in Analytics provides students with opportunities to work on real-world projects and develop connections with employers across different industries.

According to the university's official program information:

3,500+ Partner Companies: Northeastern offers experiential learning opportunities through a network of more than 3,500 partner companies, including Amazon, Salesforce, Microsoft, and Google.
Industry Connections: Analytics alumni work at organizations including Dell EMC, JPMorgan Chase, ADP, Staples, and Interactive Data.
Professional Experience: Students can participate in co-op opportunities, integrated experiential learning, and organizational capstone projects.
Career Preparation: Graduates develop skills relevant to business analysis, information technology, operations, project management, business development, and entrepreneurship.

These are university-reported industry and alumni indicators, not specific international employability rankings for the MPS in Analytics.

Experiential Learning (Research, Projects, Internships etc.)

At Northeastern University, the Master of Professional Studies in Analytics program is designed to provide students with hands-on experience that translates theory into practice. Students engage in real-world projects, collaborate with industry partners, and utilize cutting-edge tools and technologies that are essential in the field of analytics. The program emphasizes experiential learning, ensuring that you not only learn the concepts but also apply them in practical settings.

Here are some key aspects of the experiential learning opportunities available in the Master of Professional Studies in Analytics program:

- Co-op Opportunities: Northeastern’s renowned co-op program allows you to gain valuable work experience while studying. You can work with leading companies in the analytics field, applying your skills in real-world scenarios.

- Capstone Projects: Engage in a capstone project where you will work in teams to solve complex data problems for actual organizations, giving you a taste of what it’s like to work in the industry.

- Access to Advanced Software: Students have access to industry-standard software tools such as R, Python, Tableau, and SQL, which are essential for data analysis and visualization.

- Data Science Labs: The program features dedicated labs equipped with the latest technology for data analysis, allowing you to conduct research and work on projects in a collaborative environment.

- Networking Events: Participate in networking events and workshops that connect you with industry professionals, providing insights into the latest trends and practices in analytics.

- Research Institutes: Benefit from Northeastern’s various research institutes, such as the Institute for Experiential Learning, which focuses on innovative approaches to learning and analytics.

- Library Resources: Access extensive library resources, including databases and journals specific to analytics and data science, to support your research and projects.

- Field Trips: Engage in field trips to local companies and organizations, giving you firsthand experience of how analytics is applied in different sectors.

These experiential learning opportunities are designed to enhance your educational journey and prepare you for a successful career in analytics.

Choosing the Master’s in Analytics at Northeastern means you’re not just learning; you’re doing. This hands-on approach will set you apart in the competitive job market.

Progression & Future Opportunities

Pursuing a Master of Professional Studies in Analytics at Northeastern University opens the door to a wealth of career opportunities in a rapidly growing field. Graduates often find themselves in high-demand roles such as Data Analyst, Business Intelligence Analyst, and Data Scientist. With the right skills and knowledge, you can expect to make a significant impact in various industries:

- University Services: Northeastern offers robust career services, including personalized career coaching, resume workshops, and networking events that connect students with industry leaders.
- Employment Stats and Salary Figures: According to recent data, graduates from the Analytics program have a high employment rate, with many securing positions within six months of graduation. The average starting salary for graduates is around $85,000, with potential for growth as you gain experience.
- University–Industry Partnerships: Northeastern has established partnerships with leading companies such as IBM, Deloitte, and Amazon, providing students with internship opportunities and real-world projects that enhance learning and employability.
- Long-term Accreditation Value: The program is accredited by the Association to Advance Collegiate Schools of Business (AACSB), ensuring that your degree holds significant value in the job market.
- Graduation Outcomes: Alumni of the program have gone on to work at top firms and have reported high job satisfaction, often advancing to senior roles within a few years.

Further Academic Progression: After completing your Master of Professional Studies in Analytics, you may choose to further your studies by pursuing a Ph.D. in Data Science or a related field. This path can lead to academic positions, advanced research opportunities, or specialized roles in analytics that require a deeper level of expertise. Additionally, you could explore certifications in specific analytics tools or methodologies to enhance your skill set and marketability.

Northeastern University is committed to your success, both during your studies and in your future career. The combination of a strong curriculum, industry connections, and dedicated support services makes this program an excellent choice for aspiring analytics professionals.