MSc in Applied Data Science and Generative AI

The MSc in Applied Data Science and Generative AI at Vedere University is a professionally focused degree program designed to be delivered fully online as part of an innovative, staggered approach to mastering data science, business analytics, and generative AI. Through a highly structured curriculum, you will develop a comprehensive set of work-ready skills that will prepare you to excel in a wide range of companies and industries.


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In today’s era of big data and AI, employers need business analysts and data scientists who can harness advanced skills and technologies to drive insight and decision-making. This program builds these essential and in-demand competencies.
Dr. David Lopez
Faculty and Program Director

Program Overview

The main objective of this program is the training of recent graduates to help them land their first job as entry-level data scientists or AI engineers. The program will also support professionals in data-related roles who are interested in applying recent advances in AI to their daily work practice.  

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 will ensure that students acquire basic programming skills and will introduce students to basic statistical analysis techniques and data visualization.
  • Stage 2 will expose students to advanced programming and statistical analysis.
  • Stage 3 will introduce students to machine learning techniques and generative AI and will allow them to apply their skills in industry contexts.

Program Outcomes

By completing the program, students will learn to:

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 generative AI.
  • Translate business requirements into technical specifications.
  • Design secure generative AI 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.

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.
  • Develop generative AI-based systems consistent with privacy best practices, ethical principles, and security.

Program Structure

The program consists of a total of 36 credits and 12 required courses. It is structured to be completed in a specific sequence, as indicated by the prerequisites mentioned in the Course Descriptions section below. The Capstone Project serves as a platform to integrate and apply the knowledge acquired throughout the degree program.
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Course Descriptions

Admission Requirements:

  • An undergraduate degree from an accredited Institution – with a preferred GPA of 3.0 or higher
  • A quantitative background from prior academic study or work experience
  • Completed application form including personal statements/essays
  • Resumé and letters of recommendation
  • Official academic transcripts and certificates
  • TOEFL/IELTS or other English language proficiency test if applicable

Costs & Fees

15,984 USD
Total Program Fee
36
Credits
444 USD
Cost per Credit
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