Master of professional Studies in Analytics

18 Months Blended Bachelors Program

Northeastern University

Program Overview

Northeastern University's Master of Professional Studies in Analytics prepares students to use data analytics and advanced technologies to solve complex organisational challenges. The program combines statistics, business intelligence, analytical systems, data management and business strategy, making it suitable for students seeking careers in data-driven decision-making and business analytics.

Curriculum Structure

Year 1:

Students build a foundation in analytics through subjects covering statistics, mathematics, database management and business intelligence. Core courses include Introduction to Analytics, Probability Theory and Introductory Statistics, Intermediate Analytics, and Database Management Systems.

Year 1.5:

Students advance their analytical expertise through specialised subjects such as Applications of Artificial Intelligence, Predictive Analytics, Leadership in Analytics, and Risk Management for Analytics. They also complete an industry-focused capstone project, applying analytical techniques to real organisational challenges.

Note: The Boston program offers a 12–18-month study duration, so the year-wise structure above is an indicative learning sequence rather than an official two-year curriculum.

Focus Areas: Statistical modelling, applied machine intelligence, evidence-based management, business intelligence, predictive analytics, database management, data governance, business process analytics, data visualisation.

Learning Outcomes: Analyse complex datasets, apply statistical and mathematical techniques, develop predictive models, use analytics systems, communicate data-driven insights, support strategic decisions, and address data governance and ethical challenges.

Professional Alignment (Accreditation): The program is STEM-designated and meets F-1 visa requirements for eligible international students. A separate program-specific professional accreditation is not stated.

Reputation (Employability): Northeastern emphasises experiential learning and industry engagement. The university highlights more than 3,500 partner companies, including Amazon, Salesforce, Microsoft and Google, providing opportunities for students to gain practical experience through industry projects.

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 directly into practical skills for the workforce. The curriculum emphasizes experiential learning, allowing students to engage in real-world projects, collaborate with industry professionals, and utilize cutting-edge tools and technologies. With access to state-of-the-art facilities and resources, students are well-equipped to tackle complex analytical challenges.

 

Here are some key aspects of the experiential learning opportunities available in the program:

- Capstone Projects: Students work on real-world analytics projects, often in collaboration with industry partners, allowing them to apply their knowledge and skills in practical settings.
- Internship Opportunities: The program encourages internships, providing students with valuable work experience and networking opportunities in the analytics field.
- Access to Advanced Software: Students gain proficiency in industry-standard tools such as R, Python, Tableau, and SQL, which are essential for data analysis and visualization.
- Collaborative Learning: Group projects foster teamwork and communication skills, essential for success in the analytics industry.
- Research Facilities: Students have access to dedicated labs and research centers equipped with the latest technology for data analysis and research.
- Industry Connections: Northeastern's strong ties with local and national companies facilitate guest lectures, workshops, and networking events, enhancing the learning experience.
- Library Resources: The university's libraries provide extensive resources, including databases and journals specific to analytics and data science.

 

Progression & Future Opportunities

The Master of Professional Studies in Analytics at Northeastern University equips graduates with the skills and knowledge to excel in a rapidly evolving data-driven landscape. With a strong emphasis on practical experience and industry relevance, graduates often find themselves in roles such as Data Analyst, Business Intelligence Analyst, and Data Scientist. The demand for analytics professionals continues to grow, making this program a strategic choice for your career advancement.

 

Here’s what you can expect in terms of progression and future opportunities:

- 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: Graduates of the program have reported a high employment rate, with many securing positions within six months of graduation. The average starting salary for analytics professionals in the Boston area is around $85,000, with potential for growth as experience increases.
- University–Industry Partnerships: Northeastern has established partnerships with leading companies such as IBM, Deloitte, and Wayfair, providing students with access to internships and real-world projects that enhance their learning experience.
- Long-term Accreditation Value: The program is accredited by the New England Commission of Higher Education (NECHE), ensuring that your degree holds value and recognition in the job market.
- Graduation Outcomes: Alumni of the program have successfully transitioned into leadership roles, with many continuing to advance their careers in analytics and related fields.

Further Academic Progression: After completing the Master of Professional Studies in Analytics, you may choose to further your education by pursuing a Ph.D. in Data Science or a related field. Additionally, you could explore specialized certifications in areas such as machine learning or artificial intelligence, which can further enhance your expertise and career prospects. This program not only prepares you for immediate employment but also lays a solid foundation for lifelong learning and professional growth.

Program Key Stats

$67200
$67200
$67990
$75
EA, ED1, ED
Rolling


29%

Eligibility Criteria

ABB - AAA
3.6 - 3.8
40 - 42
90 - 95

1500 - 1580
33 - 36
6.5
90
Optional
No
Eligibility criteria

How US Universities Assess Applicants

Career Options

  • Business Analyst
  • Data Analyst
  • Business Intelligence Analyst
  • Analytics Consultant
  • Data Scientist
  • Statistical Analyst
  • Predictive Analytics Specialist
  • Machine Learning Analyst
  • Database Analyst
  • Operations Analyst
  • Risk Analyst
  • Business Process Analyst
Career options

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