ENAL
Universum University
Master

Data Science

Advance from analytics to leadership with a master program in data science, AI, and strategic decision intelligence.

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Overview

UNI - Universum International College, powered by Arizona State University standards, offers a Data Science master's program designed for professionals who want deep analytical capability and real market impact. The program combines advanced statistics, machine learning, big-data architecture, and applied projects to prepare graduates for high-demand digital roles.

Duration2 years
Total Credits120 ECTS
FormatModular-hybrid / online
LanguageAlbanian

Program Objectives

  • Develop a strong theoretical and applied foundation in statistics, mathematics, and computational analytics.
  • Master end-to-end data workflows: collection, cleaning, modeling, evaluation, and visualization.
  • Apply modern AI and machine-learning techniques to practical business and societal problems.
  • Use global-standard tools and platforms in Python, R, SQL, semantic-web, and data-engineering contexts.
  • Build communication and leadership readiness for multidisciplinary data-driven teams.
Curriculum

Academic path

Year 1

60 ECTS
Semester 128 ECTS
  • Software Verification, Validation, and Testing (ASU)
    6
  • Artificial Intelligence
    8
  • Technology Entrepreneurship (ASU)
    6
  • Mathematics for Data Science
    8
Semester 232 ECTS
  • Data Programming
    6
  • Machine Learning
    7
  • Distributed Big Data Analytics
    7
  • Elective Pool (Students must choose 2 courses)
    • Software Project, Process and Quality Management (ASU)6 ECTS
    • Software Integration and Engineering (ASU)6 ECTS
    • Business Intelligence6 ECTS
    • Deep Learning and Reinforcement Learning6 ECTS
    • Distributed Systems6 ECTS
    • Data Privacy and Ethics6 ECTS
    12

Academic path

Year 2

60 ECTS
Semester 330 ECTS
  • Semantic Data Web Technologies
    8
  • Research Seminars and Methodology
    8
  • Elective Pool (Students must choose 2 courses)
    • Managing and Visualizing Data7 ECTS
    • Social and Web Data Mining7 ECTS
    • Data Science for Economics7 ECTS
    • Business Strategy and Environment7 ECTS
    • Project Management7 ECTS
    14
Semester 430 ECTS
  • Thesis
    20
  • Internship
    10

What UNI students gain and experience with Arizona State University

Arizona State University is incorporated in all student experiences and programs, by providing:

ASU "What Is Innovation?" certificate course
Master Class from ASU faculty
Learn English at ASU
ASU English Courses
ASU Summer Experience
ASU Global Exchanges
Global Signature Courses
Short-term immersion programs at ASU partner universities
Online Courses and Workshops by ASU
Courses directly from Thunderbird School of Global Management at ASU
ASU Venture X - Startup
ASU Endstar Game

Why Study Data Science at UNI - Universum International College

Knowledge

  • Understand advanced statistics, mathematics, programming, and analytical methodologies for modern data ecosystems.
  • Interpret the full data lifecycle from collection and preparation to modeling, deployment, and visualization.
  • Recognize ethical, legal, and privacy requirements in data governance and AI-driven systems.

Skills

  • Apply Python, R, SQL, and machine-learning workflows to real business and research problems.
  • Build predictive and classification models, evaluate performance, and communicate technical findings clearly.
  • Use data-visualization, big-data, and semantic-web tools in multidisciplinary project environments.

Competencies

  • Deliver independent analytical projects while collaborating effectively with business, policy, and technology teams.
  • Make responsible data decisions aligned with international professional and ethical standards.
  • Adapt quickly to emerging trends in AI, data engineering, and digital transformation.

Study Abroad with Scholarships

Study for a semester abroad—funded by Erasmus+ in 26 EU countries or worldwide through Arizona State University partner universities.

190partners across Europe and Turkey
International partner map will be added soon.

Career opportunities

  • Data scientist, machine-learning engineer, business-intelligence analyst, and data-platform specialist roles.
  • Career pathways across technology, finance, healthcare, government, and digital-transformation functions.
  • Preparation for leadership in data-driven innovation, policy, and enterprise strategy.

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