Master of Science in Business Analytics

2 Months On Campus Bachelors Program

University of Maryland College Park

Program Overview

The Master of Science in Business Analytics at the University of Maryland’s Robert H. Smith School of Business prepares students to analyse large datasets and develop innovative solutions to business challenges. The 30-credit program combines data modelling, database management, predictive analytics, and decision science to support data-driven decision-making.

Curriculum Structure

Year 1

Students develop analytical foundations through Data Models and Decisions and Database Management Systems, learning to organise data and support evidence-based business decisions. Data Mining and Predictive Analytics introduces methods for discovering patterns and predicting outcomes, while Decision Analytics develops structured problem-solving skills.

Year 2 (if studying part-time):

Students complete electives worth 18 credits, allowing them to deepen their knowledge in relevant areas of business analytics. The official catalog does not prescribe a fixed year-by-year sequence or specify a standard two-year duration.

Focus Areas

Data modelling, database management, data mining, predictive analytics, decision analytics, business intelligence, data-driven decision-making.

Learning Outcomes

Analyse complex datasets, manage business databases, identify data patterns, develop predictive models, evaluate business decisions, translate analytical findings into actionable recommendations.

Professional Alignment (Accreditation)

The program is offered by the Robert H. Smith School of Business. No separate program-specific professional accreditation is stated in the official catalog.

Reputation (Employability)

The university provides dedicated career services, including recruiter connections, on-campus and off-campus recruitment, résumé databases, career forums, and job fairs. A program-specific employability ranking or employment statistic is not stated in the catalog.

Experiential Learning (Research, Projects, Internships etc.)

At the University of Maryland College Park, the MS in Business Analytics program is designed to provide students with hands-on experience that translates theoretical knowledge into practical skills. Students engage in real-world projects, utilize cutting-edge technology, and collaborate with industry professionals, ensuring they are well-prepared for the demands of the analytics field. The program emphasizes experiential learning through various facilities and tools that enhance the educational experience.

Here are some key components of experiential learning in the MS Business Analytics program:

- Data Analytics Lab: Equipped with advanced software tools like R, Python, and Tableau, students can analyze large datasets and develop predictive models.
- Capstone Projects: Students work in teams on real-world business problems, collaborating with local companies to provide actionable insights and solutions.
- Internship Opportunities: The program encourages internships with leading firms, allowing students to gain valuable industry experience and network with professionals.
- Field Trips: Students have the chance to visit companies and organizations, providing insights into how analytics is applied in various industries.
- Research Facilities: Access to the Robert H. Smith School of Business research centers, where students can engage in cutting-edge research and collaborate with faculty.
- Libraries and Resources: The University Libraries offer extensive resources, including databases and journals specific to business analytics, supporting students' research and learning.
- Industry Partnerships: Collaborations with companies such as Deloitte and Accenture provide students with exposure to real-world challenges and networking opportunities.

Progression & Future Opportunities

The MS in Business Analytics at the University of Maryland College Park equips graduates with the skills and knowledge to excel in a rapidly evolving data-driven landscape. 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 analytics, graduates are well-prepared to tackle complex business challenges and drive strategic decision-making.

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

- University Services: The university offers robust career services, including personalized career coaching, resume workshops, and networking events with industry leaders. The Maryland Career Services team is dedicated to helping students connect with potential employers.

- Employment Stats and Salary Figures: According to recent data, over 90% of graduates from the MS in Business Analytics program secure employment within six months of graduation, with starting salaries averaging around $85,000 annually.

- University–Industry Partnerships: The program has established partnerships with leading companies such as Deloitte, Accenture, and Amazon, providing students with internship opportunities and real-world projects that enhance their learning experience.

- 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: Graduates have gone on to work for top firms in various industries, showcasing the versatility and applicability of the skills gained through the program.

Further Academic Progression: After completing the MS in Business Analytics, you may choose to further your studies by pursuing a Ph.D. in Business Analytics or a related field. This path can lead to academic positions, advanced research opportunities, or specialized roles in data science and analytics. Additionally, you might consider obtaining professional certifications such as Certified Analytics Professional (CAP) or pursuing an MBA with a focus on analytics to broaden your expertise and career prospects.