Data Science and Business Analytics, M.S.

NA On Campus Masters Program

University of North Carolina Charlotte

Program Overview

The Master of Science in Data Science and Business Analytics at UNC Charlotte is an interdisciplinary graduate program that combines business, computer science, statistics, and operations research to prepare students for data-driven careers. The program develops advanced skills in data analysis, machine learning, business intelligence, predictive analytics, and strategic decision-making, with practical applications across industries such as financial services, energy, retail, supply chain management, and healthcare.

Curriculum Structure

The program requires 33 credit hours, including 18 credits of core courses, 12 credits of electives, and a capstone experience. Students develop a strong foundation in computational and analytical methods before applying their knowledge to business challenges through specialised electives and practical projects.

Core Studies

Students begin by developing essential data science and business analytics skills through courses such as DSBA 6160 – Databases for Data Scientists, which focuses on managing and organising data for analytical applications, and DSBA 6201 – Business Intelligence and Analytics, which explores analytical approaches for supporting business decisions. They also study DSBA 5122 – Visual Analytics and Storytelling, learning how to communicate complex findings through effective visualizations and data storytelling.

Advanced Analytics and Business Applications

Students advance their technical and strategic knowledge through DSBA 6156 – Applied Machine Learning, which introduces machine learning techniques for solving practical problems, and DSBA 6211 – Advanced Analytics, which develops advanced analytical capabilities. DSBA 6276 – Strategic Business Analytics further strengthens their ability to connect analytical insights with organisational strategy and business decision-making.

Electives and Capstone Experience

Students complete 12 credit hours of electives, selecting at least one course from Data Science electives and one from Business Analytics electives. They conclude the program through either a three-credit internship or a six-credit master's thesis, with the thesis requiring research over at least two semesters. This practical experience allows students to apply their analytical knowledge to real-world industry challenges or independent research.

Focus Areas

Data Science, Business Analytics, Business Intelligence, Database Management, Data Analysis, Visual Analytics, Data Storytelling, Applied Machine Learning, Advanced Analytics, Strategic Business Analytics, Predictive Analytics, Statistical Analysis, Computational Methods, Operations Research, Business Decision-Making, Data-Driven Strategy.

Learning Outcomes

Graduates will be able to manage and analyse complex datasets; apply statistical, computational, and machine learning techniques to solve real-world problems; develop business intelligence solutions and analytical models; communicate complex findings through data visualization and storytelling; evaluate business challenges using advanced analytics; and translate data-driven insights into strategic recommendations for organisational decision-making.

Professional Alignment (Accreditation)

The program is offered through the School of Data Science at UNC Charlotte and combines business, computer science, statistics, and operations research. Its curriculum aligns with professional applications in data science, business analytics, financial services, supply chain management, and technology-driven decision-making. The university's official program page does not specify a separate professional accreditation for this degree.

Reputation (Employability and Rankings)

UNC Charlotte's program benefits from strong connections with Charlotte's business community, including industry partners such as Wells Fargo, Lowe's, and Duke Energy. These partnerships provide opportunities for hands-on projects, professional networking, industry mentorship, and career connections. The university also reports a Fall 2025 class profile of 286 total students enrolled and an 80% acceptance rate for the program. The official program page does not specify a QS or Guardian subject ranking or a graduate employment percentage.

Experiential Learning (Research, Projects, Internships etc.)

At the University of North Carolina Charlotte, the MS in Data Science and Business Analytics program is designed to provide students with hands-on experience that bridges the gap between theory and practice. Students engage in real-world projects, utilize cutting-edge technology, and collaborate with industry professionals, ensuring they graduate with the practical skills needed to excel in the data-driven business landscape. 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 program:

- Data Analytics Lab: Equipped with advanced software tools such as R, Python, and Tableau, this lab allows students to work on data analysis projects and gain proficiency in industry-standard applications.

- Capstone Project: Students collaborate in teams to tackle real-world business problems, applying their knowledge and skills to deliver actionable insights for local companies.

- Internship Opportunities: The program encourages students to pursue internships with leading companies in the Charlotte area, providing invaluable work experience and networking opportunities.

- Industry Partnerships: Collaborations with local businesses and organizations offer students access to guest lectures, workshops, and networking events, enhancing their learning and career prospects.

- Research Facilities: Students have access to state-of-the-art research facilities, including the Data Science and Business Analytics Institute, where they can engage in innovative research projects.

- Field Trips: The program includes field trips to local businesses and tech companies, allowing students to see data science and analytics in action and understand industry applications.

- Library Resources: The J. Murrey Atkins Library provides extensive resources, including databases and journals specific to data science and business analytics, supporting students' research and learning needs.

These experiential learning opportunities are designed to equip you with the skills and experiences that employers are looking for in the fast-evolving field of data science and business analytics.

Choosing to pursue your MS in Data Science and Business Analytics at UNC Charlotte means you’ll be well-prepared to make a significant impact in your future career.

Progression & Future Opportunities

The MS in Data Science and Business Analytics at the University of North Carolina Charlotte 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 Analyst, Data Scientist, and Analytics Consultant. With a strong foundation in both data science and business principles, graduates are well-prepared to tackle complex challenges in various industries.

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

- University Services: The Career Services Center offers personalized career counseling, resume workshops, and interview preparation to help you secure your dream job. Additionally, the university hosts job fairs and networking events that connect students with industry leaders.

- Employment Stats and Salary Figures: According to recent data, graduates from the MS in Data Science and Business Analytics program have a high employment rate, with over 90% securing jobs within six months of graduation. The average starting salary for graduates is around $85,000, with potential for growth as you gain experience.

- University–Industry Partnerships: UNC Charlotte has established partnerships with leading companies such as Bank of America, Wells Fargo, and Siemens, 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 meets high educational standards.

- Graduation Outcomes: Graduates have successfully transitioned into roles across various sectors, including finance, healthcare, and technology, demonstrating the versatility and demand for skills acquired in this program.

Further Academic Progression: After completing the MS in Data Science and Business Analytics, you may choose to further your studies by pursuing a Ph.D. in Data Science, Business Analytics, or a related field. This advanced degree can open doors to academic positions, research opportunities, and higher-level roles in industry leadership. Additionally, you might consider obtaining professional certifications in specialized areas such as machine learning or data visualization to enhance your expertise and marketability.

Embarking on this journey at UNC Charlotte not only prepares you for immediate career success but also lays the groundwork for lifelong learning and advancement in the dynamic field of data science and business analytics.