MS in Data Science and AI

2 Years On Campus Masters Program

University of Denver

Program Overview

The Master of Science in Data Science and Artificial Intelligence at the University of Denver is designed for students and professionals who want to develop advanced expertise in data science, machine learning, artificial intelligence, and analytics. The program combines strong foundations in programming, mathematics, statistics, and data engineering with hands-on applications of modern AI technologies. Graduates are prepared to transform raw data into meaningful insights and develop AI-driven solutions across a wide range of industries.

Curriculum Structure

Year 1

Students begin by building a strong foundation in the core principles of data science and artificial intelligence. Coursework focuses on Python Programming, Statistics, Data Modeling, Database Systems, and Software Development, helping students develop technical skills needed for data analysis and machine learning applications.

Students also gain expertise in managing and processing data through courses involving Data Engineering, Data Visualization, and responsible data practices. Emphasis is placed on understanding how data is collected, structured, analyzed, and communicated effectively.

Year 2

During the second year, students advance into specialized topics such as Machine Learning, Deep Learning, Neural Networks, Generative AI, and Large Language Models. These courses help students understand and build modern AI systems while evaluating model performance and ethical implications

Students complete the program through project-based learning, an optional internship, and applied experiences that emphasize real-world problem solving. Opportunities for portfolio development, industry engagement, and AI-driven project work help students prepare for advanced technical and leadership roles.

Focus Areas

Data Science; Artificial Intelligence; Machine Learning; Deep Learning; Data Engineering; Neural Networks; Generative AI; Data Visualization; Predictive Analytics; Large Language Models; Statistical Modeling; Software Development.

Learning Outcomes

Develop expertise in machine learning, artificial intelligence, data engineering, predictive modeling, statistical analysis, Python programming, data visualization, deep learning, AI evaluation, data-driven decision making, and responsible technology development.

Professional Alignment (Accreditation)

The program prepares students for careers in Data Science, Machine Learning Engineering, Artificial Intelligence, Business Analytics, Data Engineering, and advanced technology leadership. Students develop both technical expertise and practical experience through project-based coursework and industry-focused applications.

Reputation (Employability Rankings)

The Daniel Felix Ritchie School of Engineering and Computer Science emphasizes industry-relevant learning, flexible pathways, and strong faculty mentorship. The program can be completed in 18–24 months and supports both online and hybrid study formats. Students benefit from connections with industry partners through optional internships and applied projects, preparing them for high-demand careers in AI and data science.

Experiential Learning (Research, Projects, Internships etc.)

At the University of Denver, the MS in Data Science and AI program is designed to provide students with hands-on experience that is crucial for success in the rapidly evolving tech landscape. Students engage in practical learning through various projects, internships, and access to state-of-the-art facilities and tools. This experiential learning approach ensures that you not only understand theoretical concepts but also apply them in real-world scenarios, preparing you for a successful career in data science and artificial intelligence.

Here are some key aspects of the experiential learning opportunities available in the 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 setting.

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

- Access to Cutting-Edge Software: Utilize industry-standard tools and software such as Python, R, TensorFlow, and Tableau, which are essential for data analysis and machine learning.

- Research Laboratories: Engage in research at the university’s dedicated labs, where you can explore advanced topics in data science and AI under the guidance of experienced faculty.

- Data Science Institute: Benefit from the resources and networking opportunities provided by the Data Science Institute, which connects students with industry leaders and ongoing projects.

- Field Trips and Workshops: Participate in field trips to tech companies and workshops led by industry experts, giving you firsthand exposure to the latest trends and practices in data science.

- Library Resources: Access extensive library resources, including databases and journals specific to data science and AI, to support your research and learning.

Progression & Future Opportunities

The MS in Data Science and AI at the University of Denver equips graduates with the skills and knowledge to excel in a rapidly evolving field. Alumni have successfully transitioned into roles such as Data Scientist, Machine Learning Engineer, and AI Researcher, showcasing the program's strong emphasis on practical application and industry relevance. Here’s what you can expect in terms of progression and future opportunities:

- University Services: The Career Services team 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: Graduates from the program have reported a high employment rate, with many securing positions within six months of graduation. The average starting salary for data science roles in the Denver area is around $90,000, with potential for growth as you gain experience.

- University–Industry Partnerships: The University of Denver has established partnerships with leading tech companies such as Google and IBM, providing students with internship opportunities and real-world projects that enhance their learning experience.

- Long-term Accreditation Value: The program is accredited by the Higher Learning Commission, ensuring that your degree holds value in the job market and meets rigorous academic standards.

- Graduation Outcomes: Over 85% of graduates report being employed in their field within a year of graduation, reflecting the program's effectiveness in preparing students for successful careers.

Further Academic Progression: After completing the MS in Data Science and AI, you may choose to pursue a Ph.D. in Data Science, AI, or a related field. This advanced study can open doors to academic positions, research roles, or specialized industry positions that require a deeper level of expertise. Additionally, you could explore certifications in specific technologies or methodologies to further enhance your skill set and career prospects.