Master of Science in Data Science
Unleash the power of big data to solve complex problems and drive innovation across industries.
Discover the CurriculumProgram Overview
Our Master of Science in Data Science program equips students with skills in data analysis, machine learning, and statistical modeling. You'll gain hands-on experience with cutting-edge tools and techniques, preparing for roles in analytics, AI development, and data engineering.
Duration
1.5 years (3 semesters)
Credit Hours
36 credits
Class Size
Maximum 30 students
What You'll Learn
- Advanced data analysis and visualization
- Machine learning and deep learning techniques
- Big data frameworks (Hadoop, Spark)
- Data ethics and governance
- Cloud computing for data science
Hands-On Experience
Work on real-world projects with industry partners and cutting-edge labs equipped with AI accelerators and GPU clusters.
- Mentorship from top data scientists
- Capstone projects with tech companies
- Access to data visualization workshops
- Internship placements
Curriculum Highlights
Foundations of Data Science
Statistical analysis, SQL, and data structures
Machine Learning
Supervised/unsupervised learning models
Big Data Systems
Hadoop, Spark, cloud architectures
Ethics & Governance
Privacy, data security, AI bias
Capstone Project
Industry collaboration on real-world datasets
Meet Our Faculty
Dr. Anna Petrova
Associate Professor
Expert in AI ethics and responsible data governance frameworks.
Prof. Michael Kostas
Machine Learning Architect
Specializes in deep learning models for healthcare diagnostics.