MS in Business Intelligence & Analytics

2 Years On Campus Bachelors Program

Stevens Institute of Technology

Program Overview

The MS in Business Analytics & Artificial Intelligence at Stevens Institute of Technology prepares students to combine advanced data analytics, artificial intelligence, and business strategy to solve complex organisational challenges. This 33-credit, STEM-designated program develops expertise in machine learning, deep learning, generative AI, and predictive analytics, with practical industry projects and specialised concentrations.

Curriculum Structure

Year 1: Students develop a foundation in business analytics, AI technologies, and data management through courses such as Foundations of Business Analytics, Management of AI Technologies, and Managing the Data Resource. They advance into Optimization and Process Analytics, Multivariate Data Analysis, Experimental Design, and Data Analytics and Machine Learning, building skills in statistical modelling and data-driven decision-making.

Year 2 (if studying part-time): Students can specialise through the Applied Analytics & AI or Data Science & AI concentration. Courses include Marketing Analytics, Supply Chain Analytics, Advanced Data Analytics and Machine Learning, Web Mining, Augmented Intelligence and Generative AI, and Deep Learning & Applications. Practical learning is reinforced through the Practicum in Analytics and industry-focused capstone projects.

Note: The university offers full-time and part-time study but does not prescribe a fixed year-wise course sequence.

Focus Areas

Business analytics, artificial intelligence, machine learning, deep learning, generative AI, natural language processing, predictive analytics, data science, business intelligence, ethical AI, marketing analytics, supply chain analytics.

Learning Outcomes

Apply AI and machine learning techniques to business challenges, analyse complex datasets, develop predictive models, build AI-powered business solutions, use Python, R, SQL and Tableau, interpret data for strategic decisions, manage data resources, design responsible AI systems, communicate analytical insights.

Professional Alignment (Accreditation)

  • AACSB Accreditation: The program is offered through Stevens' AACSB-accredited School of Business.

  • STEM Designation: The degree is STEM-designated, making eligible international graduates potentially eligible for the 24-month STEM OPT extension.

  • Industry Preparation: Includes practical training through technical boot camps, industry projects and capstone experiences.

Reputation (Employability Rankings)

  • U.S. News & World Report 2026: Stevens School of Business is ranked #72 among Best Business Schools.

  • TFE Times: The university lists its Business Analytics program at #15 among Best Master's of Business Analytics Programs.

  • Industry Connections: Graduates have opportunities to connect with employers such as Amazon, BlackRock, Capital One, Caterpillar, JPMorgan Chase and Wolters Kluwer.

Experiential Learning (Research, Projects, Internships etc.)

At Stevens Institute of Technology, the MS in Business Intelligence & Analytics program is designed to provide students with hands-on experience that translates theoretical knowledge into practical skills. The curriculum emphasizes real-world applications, ensuring that you not only learn the concepts but also how to apply them effectively in various business contexts. Students have access to state-of-the-art facilities and tools that enhance their learning experience and prepare them for the demands of the industry.

 

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

- Data Analytics Lab: Equipped with the latest software and tools, this lab allows students to work on real datasets and gain practical experience in data analysis and visualization.
- Group Projects: Collaborative projects are a core component of the curriculum, enabling students to work in teams to solve complex business problems, simulating real-world scenarios.
- Internship Opportunities: The program encourages internships with leading companies, providing students with invaluable industry experience and networking opportunities.
- Industry Partnerships: Stevens has strong connections with various industries, facilitating guest lectures, workshops, and networking events that enhance learning and career prospects.
- Capstone Project: Students complete a capstone project that involves working with a real client, applying their skills to deliver actionable insights and solutions.
- Access to Libraries and Research Facilities: The university offers extensive resources, including specialized libraries and research centers, to support students in their studies and projects.
- Field Trips: Students may have opportunities to visit local businesses and organizations, gaining insights into how analytics is applied in different sectors.

  

Progression & Future Opportunities

Pursuing an MS in Business Intelligence & Analytics at Stevens Institute of Technology opens the door to a wealth of career opportunities in a rapidly growing field. Graduates are well-prepared for roles such as Data Analyst, Business Intelligence Developer, and Data Scientist, where they can leverage their skills to drive data-driven decision-making in various industries.

 

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

- University Services: Stevens offers dedicated career services, including resume workshops, interview preparation, and networking events with industry leaders, ensuring you are well-equipped to enter the job market.
- Employment Stats and Salary Figures: The program boasts an impressive employment rate, with over 90% of graduates securing jobs within six months of graduation. The average starting salary for graduates in this field is around $85,000, with potential for significant growth as you gain experience.
- University–Industry Partnerships: Stevens has established partnerships with leading companies such as IBM, Deloitte, and JPMorgan Chase, 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 and is recognized globally.
- Graduation Outcomes: Alumni have gone on to work at top firms and have reported high levels of job satisfaction, often advancing to leadership positions within a few years of graduation.

Further Academic Progression: After completing your MS in Business Intelligence & Analytics, you may choose to further your studies by pursuing a Ph.D. in a related field, such as Data Science or Information Systems. This can open doors to academic positions or advanced research roles, allowing you to contribute to the evolving landscape of data analytics and business intelligence.

 

Program Key Stats

$65606
$65606
$65606
$75
EA, ED1, ED

Aug Intake : 15th Jan (RD) , 15th Nov (EA / ED)Jan Intake : 15th May


41%

Eligibility Criteria

BBC - BBB
3.6 - 3.9
28 - 34
70 - 80

1150 - 1350
30 - 34
6.5
90
Optional
No
Eligibility criteria

How US Universities Assess Applicants

Career Options

  • AI Specialist
  • AI Consultant
  • AI Product Manager
  • Artificial Intelligence Engineer
  • Machine Learning Engineer
  • Business Analyst
  • Business Intelligence Consultant
  • Data Analyst
  • Data Engineer
  • Data Scientist
  • Software Development Engineer
  • Analytics Consultant
Career options

Book Free Session with Our Admission Experts

Admission Experts