Business Analytics MSBSAN

2 Years On Campus Masters Program

Drexel University

Program Overview

The Master of Science in Business Analytics (MSBSAN) at Drexel University is a STEM-designated programme designed for students who want to develop advanced quantitative, analytical, and technical skills to solve complex business problems. The programme combines statistics, operations research, and management information systems, allowing students to learn how to collect, manage, interpret, and analyse large datasets while applying predictive modelling, machine learning, and data visualisation techniques to support strategic business decisions. Students also gain practical experience through an industry internship or business consulting opportunity and complete a capstone project addressing a real-world business challenge.

Curriculum Structure

Year 1: Foundations of Business Analytics and Data Management

Students develop a strong foundation in statistical analysis, business decision-making, programming, and information systems. Core subjects include Statistics for Business Analytics, Managerial Decision Models and Simulation, Aligning Information Systems and Business Strategies, and Python Programming for Business Applications. Students also study Predictive Analytics and Machine Learning, Database Analysis and Design for Business, and Data Visualization and Analytics, gaining practical skills in analysing datasets, building predictive models, managing business databases, and presenting analytical insights.

Year 2: Advanced Analytics, Specialisation, and Industry Experience

Students deepen their expertise through a selected concentration in Information Systems, Statistics, or Modelling, or by developing a customised concentration in a functional business area. Depending on their chosen specialisation, they may study Applied Regression Analysis, Multivariate Analysis, Customer Analytics, Operations Research, System Simulation, or Emerging Information Technologies in Business. Students also complete the Business Analytics Capstone Project, applying their analytical knowledge to a practical business problem, alongside an experiential requirement through a Graduate Internship or Business Consulting course.

Focus Areas

Business Analytics, Statistical Analysis, Predictive Analytics, Machine Learning, Operations Research, Mathematical Modelling, Data Visualization, Python Programming, Database Management, Management Information Systems, Business Intelligence, Time Series Forecasting, Decision Modelling, Econometrics, Customer Analytics, Information Systems Strategy, and Business Decision-Making.

Learning Outcomes

Graduates will be able to apply statistical and quantitative techniques to analyse complex business problems, develop predictive models using machine learning, manage and interpret large datasets, design and maintain business databases, use Python for business analytics, create effective data visualisations, evaluate business performance through analytical modelling, and communicate data-driven insights to support strategic decision-making. They will also develop the ability to translate analytical findings into practical business strategies and solutions.

Professional Alignment (Accreditation)

Drexel University's Bennett S. LeBow College of Business holds accreditation from the Association to Advance Collegiate Schools of Business (AACSB), an internationally recognised accreditation body for business education. The programme is STEM-designated and provides professional preparation in statistical analysis, business intelligence, predictive modelling, machine learning, and information systems. Its curriculum also supports the development of technical and analytical competencies relevant to careers in business analytics and data-driven management.

Reputation (Employability Rankings)

Employment rate: 93% of LeBow master's and MBA graduates from the Class of 2025 were employed one year after graduation.
Job satisfaction: 96% of employed alumni from the same graduating class reported overall job satisfaction one year after graduation.
Career opportunities: Graduates can pursue positions such as Data Analyst, Business Analyst, Business Intelligence Analyst, Data Engineer, Marketing Data Analyst, Analytics Modeler, and Solutions Architect.
Industry connections: Graduates have secured opportunities with organisations including Microsoft, IBM, SAP, JPMorgan, Comcast, BASF, and RBC Capital Markets.
Industry applications: The programme prepares students for opportunities across consulting, finance, healthcare, insurance, technology, manufacturing, government, and marketing.

Important programme update: Drexel has subsequently renamed the MS in Business Analytics to MS in Applied AI and Business Analytics. The current programme has a revised semester-based curriculum of 33 credits and a programme length of 18–36 months. The 45-quarter-credit curriculum described above corresponds to the catalogue page provided.

Experiential Learning (Research, Projects, Internships etc.)

At Drexel University, the Business Analytics MS program is designed to provide students with hands-on experience that translates theory into practice. Through a combination of cutting-edge technology, collaborative projects, and real-world applications, students develop the analytical skills necessary to thrive in today’s data-driven business environment. The program emphasizes experiential learning, allowing students to engage with industry-standard tools and methodologies that prepare them for successful careers.

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

- Capstone Projects: Students work on real-world business problems in collaboration with industry partners, applying their analytical skills to deliver actionable insights.
- Internship Opportunities: The program encourages internships, providing students with the chance to gain valuable work experience and network with professionals in the field.
- Access to Advanced Software: Students utilize industry-standard software such as R, Python, Tableau, and SQL, equipping them with the technical skills employers seek.
- Collaborative Learning: Group projects foster teamwork and communication skills, essential for success in any business environment.
- Research Facilities: The LeBow College of Business houses state-of-the-art labs and resources, including the Business Analytics Lab, where students can conduct research and experiments.
- Field Trips and Industry Visits: Students have opportunities to visit local businesses and organizations, gaining insights into how analytics is applied in various sectors.
- Networking Events: The program hosts events that connect students with alumni and industry leaders, enhancing career opportunities and mentorship.

These experiential learning components ensure that students not only learn the theoretical aspects of business analytics but also gain the practical skills and experiences that will set them apart in the job market.

Progression & Future Opportunities

The Business Analytics MS program at Drexel University equips graduates with the skills and knowledge needed to thrive in a data-driven world. With a strong emphasis on practical experience and industry relevance, students can expect to pursue exciting career paths such as Data Analyst, Business Intelligence Analyst, and Operations Research Analyst. The program not only prepares you for immediate employment but also sets the stage for long-term career advancement:

- University Services: Drexel offers robust career services, including personalized career counseling, resume workshops, and networking events with industry leaders. The Steinbright Career Development Center provides co-op opportunities that allow students to gain real-world experience while studying.

- Employment Stats and Salary Figures: Graduates of the Business Analytics program have a high employment rate, with many securing positions within six months of graduation. According to recent data, the average starting salary for graduates in this field is around $80,000, with potential for significant growth as you gain experience.

- University–Industry Partnerships: Drexel has established partnerships with leading companies such as Comcast, SAP, and Deloitte, providing students with access to internships, co-op placements, and collaborative 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 the education you receive meets the highest standards of quality and relevance in the business field.

- Graduation Outcomes: Alumni of the program have gone on to work for top firms in various sectors, demonstrating the versatility and demand for skills acquired through the Business Analytics MS.

Further Academic Progression: After completing the Business Analytics MS, you may choose to further your studies by pursuing a PhD in Business Analytics or a related field. This advanced degree can open doors to academic positions, research opportunities, and higher-level roles in industry. Additionally, you might consider obtaining professional certifications such as Certified Analytics Professional (CAP) or specialized credentials in data science, which can further enhance your expertise and marketability in the job market.

Drexel University’s commitment to your success doesn’t end at graduation; it’s a lifelong partnership that supports your career journey.