Master of Professional Studies in Data Sciences and Applications

1 Year On Campus Masters Program

University at Buffalo SUNY

Program Overview

The Master of Professional Studies (MPS) in Data Sciences and Applications at the University at Buffalo prepares students to turn large and complex datasets into meaningful insights through data analytics, programming, statistical analysis, and machine learning. Designed for students from diverse academic and professional backgrounds, the programme combines technical training with practical applications, helping graduates develop the skills needed to solve data-driven problems across different industries.

Curriculum Structure

The programme requires 30 credit hours, consisting of eight core courses worth 24 credits, a 3-credit data science applications course, and a 3-credit project or capstone. It follows a cohort-based structure, allowing students to develop their knowledge progressively through programming, databases, statistical analysis, machine learning, and applied data science.

First Semester – Foundations in Mathematics, Statistics, and Programming

Students build their technical foundation through courses such as Programming Database Fundamentals, Statistical Data Mining I, Database Management Systems, and Probability and Data Analysis. These subjects introduce programming concepts, database operations, regression analysis, statistical modelling, and data interpretation.

Second Semester – Advanced Analytics and Machine Learning

Students advance their analytical and computational skills through Machine Learning, Introduction to Numerical Analysis, Statistical Data Mining II, and Cybersecurity, Privacy and Ethics. These courses cover predictive modelling, unsupervised learning, numerical techniques, data security, and responsible data management.

Final Semester – Applications and Practical Experience

Students complete Applications of Data Science Industry Overview and a 3-credit project or capstone requirement. They can gain practical experience through an industry internship, undertake a research project with a faculty member, or choose an approved elective in place of the project, subject to programme requirements.

Focus Areas

Data Science, Data Analytics, Machine Learning, Statistical Data Mining, Predictive Modelling, Statistical Analysis, Programming, Python Programming, Database Management, SQL, Big Data Management, Data Manipulation, Numerical Analysis, Probability Theory, Data Visualisation, Cybersecurity, Data Privacy, Data Ethics, Cloud-Based Data Management, Applied Data Science.

Learning Outcomes

Students develop the ability to apply mathematical, statistical, and computational techniques to analyse complex datasets. They learn to organise and manage large databases, use programming languages for data analysis, implement machine learning and data mining methods, and interpret analytical results. The programme also develops their understanding of data security, privacy, and ethical practices. Through the project or internship component, students gain practical experience applying data science methods to industry challenges or research problems.

Professional Alignment (Accreditation)

The programme is officially registered with the New York State Education Department. It is also identified by the University at Buffalo as a STEM-approved programme, making eligible international students potentially qualified for the 24-month STEM Optional Practical Training extension, subject to U.S. immigration requirements. The official programme information does not identify a separate professional accreditation specifically for this degree.

Reputation (Employability Rankings)

The programme was developed in consultation with industry organisations, including IBM, HP, Sentient Science, Calspan, M&T Bank, and Moog, to align its curriculum with practical industry requirements. The university also reports that graduates have pursued roles in data science, analytics, data engineering, software development, and operations research. Alumni employers include Dell Technologies, Amazon, FedEx, M&T Bank, and Roswell Park Cancer Institute. These are university-reported examples rather than a guaranteed placement list.

Experiential Learning (Research, Projects, Internships etc.)

At the University at Buffalo, the MPS in Data Science and Applications program is designed to provide students with hands-on experience that is essential for success in the rapidly evolving field of data science. Students engage in practical learning through various projects, internships, and access to state-of-the-art facilities and tools. This program emphasizes real-world applications, ensuring that you not only learn theoretical concepts but also how to apply them effectively in professional settings.

Here are some key aspects of the experiential learning opportunities available in the MPS Data Science and Applications program:

- Collaborative Projects: Work on team-based projects that simulate real-world data challenges, allowing you to collaborate with peers and apply your skills in a practical context.

- Internship Opportunities: Gain valuable industry experience through internships with local and national companies, providing you with insights into the data science field and enhancing your resume.

- Access to Cutting-Edge Software: Utilize industry-standard tools and software such as Python, R, SQL, and Tableau, which are integral to data analysis and visualization.

- Research Laboratories: Engage in research at specialized labs, such as the Data Science Research Center, where you can work on innovative projects and contribute to ongoing studies.

- Field Trips and Industry Visits: Participate in organized visits to tech companies and data-driven organizations, giving you a firsthand look at how data science is applied in various sectors.

- Digital Tools and Resources: Leverage the university's extensive digital library resources and databases, which provide access to a wealth of information and research materials relevant to data science.

- Networking Opportunities: Connect with industry professionals through workshops, guest lectures, and networking events hosted by the university, helping you build relationships that can lead to future job opportunities.

The experiential learning components of the MPS Data Science and Applications program are designed to equip you with the skills and experiences necessary to thrive in the data science landscape.

Embarking on this journey at UB will not only enhance your knowledge but also prepare you for a successful career in data science!

Progression & Future Opportunities

The MPS in Data Sciences and Applications at the University at Buffalo SUNY equips graduates with the skills and knowledge to excel in a rapidly evolving field. Alumni have successfully transitioned into roles such as Data Analyst, Data Scientist, and Business Intelligence Analyst, showcasing the program's strong alignment with industry needs. This degree not only opens doors to immediate employment but also lays a solid foundation for long-term career growth:

- University Services: The Career Services office offers personalized career counseling, resume workshops, and interview preparation to help students secure internships and job placements. Additionally, the university hosts job fairs and networking events that connect students with potential employers.

- Employment Stats and Salary Figures: According to recent data, graduates from the MPS program have a high employment rate, with over 90% securing jobs within six months of graduation. The average starting salary for graduates in data-related roles is around $85,000, reflecting the high demand for skilled professionals in this field.

- University–Industry Partnerships: The University at Buffalo has established partnerships with leading companies such as IBM and Microsoft, providing students with opportunities for internships, collaborative projects, and access to cutting-edge technologies.

- Long-term Accreditation Value: The MPS program is accredited by relevant professional bodies, ensuring that the curriculum meets industry standards and that your degree holds value in the job market.

- Graduation Outcomes: Graduates have gone on to work for top organizations in various sectors, including finance, healthcare, and technology, demonstrating the versatility and applicability of the skills gained in this program.

Further Academic Progression: After completing the MPS in Data Sciences and Applications, students have the option to pursue further studies, such as a Ph.D. in Data Science or related fields. This can lead to advanced research opportunities, teaching positions at the university level, or specialized roles in data-driven research and development. The program also prepares students for certifications in data analytics and machine learning, enhancing their expertise and career prospects even further.

Choosing the MPS in Data Sciences and Applications at the University at Buffalo is a strategic step toward a successful and fulfilling career in a field that is only expected to grow in importance.