MBS Analytics: Data Science & AI concentration

2 Years On Campus Masters Program

Rutgers University Newark

Program Overview

The Master of Business and Science (MBS) in Analytics: Data Science and AI at Rutgers University is a multidisciplinary graduate program designed for students who want to develop advanced technical and business skills in data analytics, artificial intelligence, and data-driven decision-making. The program combines statistics, machine learning, database management, cloud computing, business intelligence, finance, leadership, and management, preparing graduates to apply analytical solutions across industries such as healthcare, finance, technology, business intelligence, security intelligence, and supply chain management.

Curriculum Structure

Program Duration: Approximately 18–24 months, depending on study pace and course selection.

The MBS curriculum consists of 43 credits, including 19 credits of business courses and 24 credits of science courses. Students develop technical expertise through subjects such as Fundamentals of Analytics, Database and Data Warehousing, Business Intelligence with Visual Analytics, Introduction to Cloud Computing and Big Data, Regression Analysis, and Advanced Analytics and Practicum.

First Year: Students build their foundations in data analytics, programming, statistics, and business management. Courses such as Fundamentals of Analytics introduce analytical methods, while Database and Data Warehousing develops knowledge of organizing and managing large datasets. Students also study Business Intelligence with Visual Analytics, Introduction to Cloud Computing and Big Data, and business subjects such as Principles of Finance and Accounting, Market Assessment and Analysis, and Principles of Communication and Leadership. Students without previous programming experience may be required to take Python Methodologies during their first semester.

Second Year: Students concentrate on advanced analytical techniques, artificial intelligence, and practical business applications. Courses such as Regression Analysis and Advanced Analytics and Practicum help students develop predictive modeling and problem-solving skills, while electives such as AI Engineering, Introduction to Artificial Intelligence, and Data Storytelling allow them to explore specialized interests. Students also complete the Science and Technology Management Capstone, applying their technical and business knowledge to practical management and technology challenges. Internship, research internship, and externship opportunities can provide additional professional experience.

Focus Areas

Data Science, Artificial Intelligence, Business Analytics, Statistical Analysis, Machine Learning, Predictive Analytics, Big Data Analytics, Database Management, Data Warehousing, Cloud Computing, Business Intelligence, Data Visualization, Regression Analysis, Python Programming, AI Engineering, Data-Driven Decision-Making, Technology Management, Finance Analytics.

Learning Outcomes

Graduates develop the ability to analyze complex datasets, apply statistical and machine learning techniques, build predictive models, and use artificial intelligence to solve business and technical challenges. They gain practical knowledge of database management, cloud computing, data visualization, business intelligence, and large-scale data processing. The program also develops leadership, communication, financial management, project management, and strategic decision-making skills, enabling graduates to connect technical analytics with business objectives.

Professional Alignment (Accreditation)

The university's official program information does not specify a separate professional accreditation for the Analytics: Data Science and AI concentration. However, the MBS degree is part of the Professional Science Master's (PSM) network, which emphasizes the integration of advanced scientific education with professional business skills. The curriculum includes industry-oriented projects, internships, externships, and a capstone experience, helping students develop practical skills relevant to analytics and technology careers.

Reputation (Employability Rankings)

Rutgers University has an established reputation for combining academic education with professional development and industry engagement. The MBS program emphasizes career preparation through technical coursework, experiential learning, mentorship, and professional networking.

According to the university's official program information:

1,745+ Alumni – The Rutgers Master of Business and Science program has a network of more than 1,745 alumni.
Industry Connections – MBS alumni have worked at organizations including Deloitte Consulting, JPMorgan Chase, Credit Suisse, and Legg Mason.
Professional Experience – Students can participate in internships, corporate-sponsored externships, and research projects to gain practical industry experience.

These are program-level professional and alumni indicators rather than specific international employability rankings for the Data Science and AI concentration.

Experiential Learning (Research, Projects, Internships etc.)

At Rutgers University Newark, the MBS Analytics: Data Science & AI concentration, Discovery Informatics, and Data Sciences offers students a unique opportunity to gain practical skills that are essential in today’s data-driven world. The program emphasizes experiential learning, allowing students to engage in real-world projects, collaborate with peers, and utilize cutting-edge technology and resources. With access to state-of-the-art facilities and tools, students are well-prepared to tackle complex data challenges and make impactful decisions in their future careers.

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

- Hands-On Projects: Engage in group projects that simulate real-world analytics scenarios, allowing you to apply theoretical knowledge to practical situations.
- Internship Opportunities: Benefit from partnerships with local businesses and organizations that provide internship placements, giving you valuable industry experience.
- Advanced Software Tools: Gain proficiency in industry-standard software such as R, Python, Tableau, and SQL, which are essential for data analysis and visualization.
- Research Laboratories: Access dedicated research labs equipped with the latest technology for data analysis and informatics, fostering an environment of innovation and discovery.
- Field Trips: Participate in field trips to local companies and tech hubs, providing insights into how analytics is applied in various industries.
- Collaboration with Institutes: Work alongside faculty and industry experts through collaborations with research institutes focused on data science and analytics.
- Library Resources: Utilize extensive library resources, including databases and journals, to support your research and projects.

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

This program not only equips you with the necessary skills but also immerses you in a vibrant learning environment that fosters growth and innovation. I encourage you to consider applying and take the next step toward a rewarding career in analytics!

Progression & Future Opportunities

The MBS Analytics: Data Science & AI concentration at Rutgers University Newark prepares graduates for a dynamic career landscape, equipping them with the skills needed to excel in various data-driven roles. Graduates often find themselves in positions such as Data Analyst, Business Intelligence Analyst, and Data Scientist, where they can leverage their expertise to drive strategic decision-making and innovation in organizations.

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

- University Services: Rutgers offers dedicated career services, including resume workshops, interview preparation, and networking events specifically tailored for analytics students. The Rutgers Career Center also connects students with potential employers through job fairs and internship opportunities.

- Employment Stats and Salary Figures: According to recent data, graduates from this program have a high employment rate, with over 90% securing jobs within six months of graduation. The average starting salary for graduates in analytics roles is around $75,000, with potential for significant growth as experience increases.

- University–Industry Partnerships: Rutgers has established partnerships with leading companies in the tech and finance sectors, such as Prudential and Verizon, providing students with real-world projects and internship opportunities that enhance their learning experience.

- Long-term Accreditation Value: The program is accredited by the Middle States Commission on Higher Education, ensuring that the education you receive meets high standards and is recognized by employers and other institutions.

- Graduation Outcomes: Alumni of the program have gone on to work at prestigious organizations, contributing to impactful projects and advancing their careers in analytics and data science.

Further Academic Progression: After completing the MBS program, students have the option to pursue further studies, such as a Ph.D. in Data Science or a related field, or specialized certifications in areas like machine learning or artificial intelligence. This can enhance their expertise and open doors to advanced research roles or leadership positions in the industry.

Choosing the MBS in Business and Science in Analytics Discovery Informatics and Data Sciences at Rutgers University Newark is a strategic step toward a rewarding career in a rapidly evolving field. With strong support services, impressive employment outcomes, and opportunities for further academic growth, you’ll be well-equipped to make your mark in the world of data analytics.