MSc in Applied Data Science and Machine Learning
About This Program
The MSc in Applied Data Science and Machine Learning at Vedere University is a fully online, professionally focused degree program designed to develop practical data science and machine learning skills. Through a highly structured curriculum using Problem-Based Learning (PBL), you will develop work-ready skills that prepare you to excel as a data scientist or transition into quantitative roles across industries.
The main objective of this program is the training of recent graduates to help them land their first job as entry-level data scientists. The program will also support professionals already in data-related roles who are interested in transitioning into more quantitative positions or applying machine learning to their daily work.
The program adopts a Problem-Based Learning (PBL) approach to design and deliver the modules of the program. PBL is increasingly considered an effective instructional approach to facilitate students' attainment of the high-level competences and transferable skills increasingly being demanded by industry and the public sector.
The program is structured in three stages:
- Stage 1 (Foundational): Students acquire basic programming skills in Python and are introduced to statistical analysis techniques and data visualization.
- Stage 2 (Advanced): Students are exposed to advanced programming, statistical analysis, and analytics for decision-making.
- Stage 3 (Applied): Students master machine learning techniques and generative AI, applying their skills in industry contexts through real-world projects and a capstone.
Why Choose This Program?
- Deep focus on classical machine learning and statistical learning methods
- Two dedicated Machine Learning courses progressing from fundamentals to deep learning
- Stronger mathematical foundation with four Math for Data Science courses
- Build, evaluate, and deploy predictive models for real business problems
- Develop both analytical reasoning and hands-on implementation skills
"Learn from a curriculum shaped around MSc in Applied Data Science and Machine Learning and designed to support practical, career-relevant outcomes."
Program Highlights
- 1Start Dates: Rolling admissions throughout the year
- 2Duration: 12 courses at your own pace
- 3Format: Fully online, asynchronous learning
- 4Credits: 36 credit hours ($444 per credit)
- 5Problem-Based Learning (PBL) for practical skills
- 6Capstone project with real-world ML applications
Who's It For?
Recent Graduates
Graduates with a quantitative background looking to land their first role as a data scientist or ML engineer.
Career Changers
Professionals in data-related roles who want to transition into more quantitative, ML-focused positions.
Analysts & Engineers
Business analysts and software engineers seeking to deepen their machine learning and predictive modeling skills.
Research-Minded Professionals
Individuals interested in statistical modeling, neural networks, and applying ML methods to complex real-world problems.
What You'll Learn
Our structured 12-course curriculum takes you from programming and statistical fundamentals through advanced machine learning and deep learning. Each stage builds upon the previous, with a stronger emphasis on mathematical foundations and ML techniques.
12 courses · 36 total credits
Learning Outcomes
Graduates will possess analytical, technical, and communication competencies essential for success in data science and machine learning roles.
Analytical Competencies
Build statistical models and understand their power and limitations.
Design an experiment.
Apply problem-solving strategies to open-ended questions.
Determine when to use machine learning versus traditional statistical methods.
Translate business requirements into technical specifications.
Design scalable machine learning systems.
Technical Competencies
Acquire, clean, and manage data.
Handle and analyze massive datasets.
Use machine learning and optimization to make decisions.
Assemble computational processes to develop data science using widely available market tools.
Implement deep learning and neural network architectures.
Communication Competencies
Visualize data for exploration, analysis, and communication.
Collaborate with other functional teams.
Perform reproducible data analysis.
Conduct data science activities mindful of policies, privacy, security, and ethical considerations.
Career Opportunities
The MSc in Applied Data Science and Machine Learning prepares you for high-demand roles in one of the fastest-growing technical fields.
Data Scientist
Machine Learning Engineer
ML Operations Engineer
Business Analyst
Data Analyst
Research Scientist
Data Science Consultant
Quantitative Analyst
Our Career Services team is here to help you achieve your professional goals.
What's It Like to Study Here?
Discover how our flexible online platform, dedicated support team, and vibrant student community make Vedere University the ideal place to advance your career.
Flexible Online Learning
Study on your schedule with asynchronous courses designed for working professionals.
Dedicated Support
Access to academic advising, technical support, and career guidance.
Student Community
Connect with peers through live sessions, discussions, and collaborative projects.
Ready to Master Machine Learning?
Join the next generation of data scientists and ML engineers. Apply now to start building the skills that drive modern AI systems.