Business Analytics and Intelligence, MBusAI

NA On Campus Masters Program

Case Western Reserve University

Program Overview

The Master of Business Analytics and Intelligence (MBusAI) at Case Western Reserve University's Weatherhead School of Management is a STEM-designated graduate programme designed to prepare students for careers in business analytics, data science, and data-driven decision-making. The curriculum combines statistical methods, programming, machine learning, artificial intelligence, and business applications, helping students transform complex data into practical insights for organisational challenges.

The programme emphasises applications in marketing and operations while developing analytical skills that can be applied across industries. Students also gain practical experience through industry-related projects, mentorship, networking opportunities, and a capstone project.

Curriculum Structure

The MBusAI is a 30-credit-hour, full-time programme designed to be completed in two semesters. It follows a prescribed curriculum covering professional development, analytics skills, and business applications. Students may have the option to extend their studies across additional semesters.

First Semester – Fall

Students develop foundational skills in statistics, data management, programming, predictive modelling, and marketing analytics. Courses include:

Professional Development: Skills for Success
Leadership in Action: Teamwork and Influence
Managerial Marketing I
Foundations of Probability and Statistics
Data Mining and Visualization
Predictive Modeling
Data Management with SQL
Foundations of Python Programming

Second Semester – Spring

The second semester focuses on applying analytical methods to business decisions, marketing performance, operations, and real-world challenges. Courses include:

Business Communication: Storytelling for Impact
Project Execution Skills: Strategies for Real World Problem Solving
Operations Management I
Marketing Models and Digital Analytics
Advanced Marketing Analytics
Prescriptive Analytics
Capstone Project in Business Analytics

Students apply their knowledge through the capstone project, working with business-related problems and presenting analytical solutions.

Focus Areas

Business analytics, business intelligence, data science, statistical analysis, probability, predictive modelling, data mining, data visualisation, machine learning, artificial intelligence, Python programming, SQL, database management, digital marketing analytics, marketing models, advanced marketing analytics, operations management, prescriptive analytics, business decision-making, data-driven strategy, project execution, and professional communication.

Learning Outcomes

Graduates develop proficiency in analytical tools, statistical techniques, and computational models used to interpret complex business data. They learn to identify patterns, build predictive models, evaluate business performance, and extract meaningful insights for organisational decision-making. The programme also strengthens their ability to communicate analytical findings, collaborate with teams, and recommend evidence-based solutions to business challenges.

Professional Alignment (Accreditation)

STEM Designation: The programme is STEM-designated, reflecting its emphasis on quantitative methods, technology, programming, and analytical problem-solving.
Industry-Relevant Learning: Students work with real-world data and business problems to develop practical analytical expertise.
Technical Skills Development: Coursework in Python, SQL, machine learning, artificial intelligence, predictive modelling, and data visualisation helps students develop relevant technical capabilities.
Business Applications: The curriculum connects analytical methods with marketing, operations, and business decision-making.
Capstone Project: Students complete a client-oriented capstone project, applying the knowledge and skills developed throughout the programme to a business problem.
Professional Development: Dedicated coursework in leadership, teamwork, communication, and project execution supports students' professional growth.

Reputation (Employability and Rankings)

School Reputation: The programme is offered by the Weatherhead School of Management, Case Western Reserve University's business school.
Industry Exposure: Students interact with industry partners through projects, mentorship, and professional networking opportunities.
Technical Career Preparation: The curriculum prepares students for analytical roles requiring knowledge of statistics, programming, data management, machine learning, and business applications.
Career Opportunities: Graduates can pursue roles such as Business Analyst, Data Analyst, Business Intelligence Analyst, Data Scientist, Marketing Analyst, Operations Analyst, Predictive Analytics Specialist, Machine Learning Analyst, Financial Data Analyst, Marketing Data Scientist, Business Analytics Consultant, and Decision Science Analyst.

Note: These are potential career paths based on the programme's curriculum and skills developed. They are not guaranteed employment outcomes or programme-specific placement statistics.

Admission and Entry Requirements

Applicants are expected to have an undergraduate academic background demonstrating quantitative aptitude.
Prior coursework in probability and statistics is expected.
Programming experience is expected.
At least one undergraduate course in linear algebra is required. Students who have not completed linear algebra must take a one-credit preparatory course.
Students should have a suitable mathematical foundation for graduate-level analytics coursework.

Important: The current university bulletin lists the programme as 30 credits and two semesters. An older programme PDF describes a 36-credit, 16-month curriculum, so the current bulletin should be prioritised when updating the programme record.

Experiential Learning (Research, Projects, Internships etc.)

At Case Western Reserve University, the MBusAI in Business Analytics and Intelligence program is designed to provide students with hands-on experience that translates theory into practice. Students engage in real-world projects, utilize cutting-edge technology, and collaborate with industry professionals, ensuring they graduate with the skills and confidence needed to excel in the field of business analytics. The program emphasizes experiential learning through various facilities and tools that enhance the educational experience.

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

- Data Analytics Lab: Equipped with advanced software tools like Tableau, R, and Python, students can analyze large datasets and develop actionable insights.
- Capstone Projects: Collaborate with local businesses on real-world analytics projects, allowing you to apply your skills in a practical setting while building your professional network.
- Internship Opportunities: Gain valuable work experience through internships with leading companies in the Cleveland area, providing a bridge between academic learning and professional application.
- Field Trips: Participate in visits to local businesses and tech companies to see analytics in action and understand industry practices firsthand.
- Research Facilities: Access to state-of-the-art research labs where students can engage in innovative projects and collaborate with faculty on cutting-edge research.
- Access to Libraries and Resources: Utilize the extensive resources at the Kelvin Smith Library, which offers a wealth of databases and research materials tailored for business analytics.
- Collaboration with Institutes: Work alongside the Weatherhead School of Management and the Institute for Smart, Secure, and Connected Systems, which focus on interdisciplinary research and innovation in analytics.

These experiential learning opportunities not only enhance your academic journey but also prepare you for a successful career in business analytics.

Embarking on this journey will equip you with the practical skills and experiences that employers are looking for in today's competitive job market. I encourage you to consider applying to the MBusAI program and take the next step toward your future!

Progression & Future Opportunities

The MBusAI in Business Analytics and Intelligence at Case Western Reserve University equips graduates with the skills and knowledge to excel in a rapidly evolving job market. Alumni of this program often find themselves in high-demand roles such as Data Analyst, Business Intelligence Consultant, and Analytics Manager. With a strong foundation in data-driven decision-making, graduates are well-prepared to tackle complex business challenges.

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

- University Services: The Career Management Office offers personalized career coaching, resume workshops, and networking events to connect students with industry professionals.
- Employment Stats and Salary Figures: Graduates from the MBusAI program have reported a 90% employment rate within six months of graduation, with starting salaries averaging around $85,000.
- University–Industry Partnerships: Case Western has established partnerships with leading companies such as Deloitte, IBM, and Progressive, providing students with internship opportunities and real-world projects.
- 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 have successfully transitioned into leadership roles, with many advancing to senior positions within just a few years of graduation.

Further Academic Progression: After completing the MBusAI program, students have the option to pursue further studies, such as a Ph.D. in Business Analytics or related fields. This can open doors to academic careers or advanced research positions, allowing you to contribute to the evolving landscape of business intelligence and analytics. Additionally, many graduates choose to obtain professional certifications, such as Certified Analytics Professional (CAP), to further enhance their credentials and career prospects.

By choosing the MBusAI program at Case Western Reserve University, you’re not just investing in a degree; you’re paving the way for a successful and fulfilling career in business analytics.