Professional Bachelor

Professional Bachelor in AI for Business

Lead the next generation of digital transformation by mastering artificial intelligence, business analytics, and innovation through the AI for Business program at UNI.

Overview

Powered by Arizona State University, UNI's Professional Bachelor in AI for Business prepares students to connect artificial intelligence with business strategy. Students learn how data, algorithms, and intelligent systems improve decision-making, customer experience, operations, and innovation. Through practical projects, case studies, internships, and collaborative problem solving, they build skills in AI, machine learning, business analytics, digital transformation, management, finance, and entrepreneurship.

Duration3 years
Total Credits180 ECTS
FormatCampus / Online
LanguageAlbanian and English

Program Objectives

  • Equip students with strong foundations in artificial intelligence, machine learning, data analytics, and business management.
  • Prepare students to apply AI technologies and data-driven approaches to solve business problems in dynamic environments.
  • Enable students to understand organizational processes and leverage AI solutions to improve efficiency, productivity, and strategic decision-making.
  • Develop quantitative, analytical, and computational reasoning skills for modeling, forecasting, optimization, and predictive analytics.
  • Foster innovation and entrepreneurship with emerging technologies.
  • Apply ethical, legal, and governance principles in AI-enabled business solutions.
  • Cultivate communication, collaboration, and leadership skills for interdisciplinary business and technology environments.
Curriculum

Academic path

Year 1

60 ECTS
Semester 130 ECTS
  • Introduction to Programming (Python)
    6
  • Computer Fundamentals
    6
  • Mathematics for AI
    6
  • Study Skills
    2
  • Elective course pool (choose 10 ECTS)
    • Digital Literacy & Productivity Tools6 ECTS
    • Business Communication6 ECTS
    • Introduction to Web Technologies6 ECTS
    • English Language2 ECTS
    10
Semester 230 ECTS
  • Data Structures & Algorithms
    6
  • Object-Oriented Programming
    6
  • Database Fundamentals (SQL)
    6
  • Elective course pool (choose 12 ECTS)
    • English Language2 ECTS
    • Applied Excel for Business4 ECTS
    • Introduction to Entrepreneurship6 ECTS
    • Basics of Accounting6 ECTS
    12

Academic path

Year 2

60 ECTS
Semester 330 ECTS
  • Data Analysis with Python
    6
  • Statistics for AI
    6
  • Data Visualization
    6
  • AI in Marketing & Customer Analytics
    6
  • Elective course pool (choose 6 ECTS)
    • Python for Automation6 ECTS
    • Data Ethics & AI Governance6 ECTS
    • E-Commerce Technologies6 ECTS
    • English Language2 ECTS
    6
Semester 430 ECTS
  • Machine Learning with Python
    6
  • Web & API Development for AI
    6
  • Business Intelligence Tools
    6
  • AI in Finance & FinTech
    6
  • Elective course pool (choose 6 ECTS)
    • UX/UI for Data-Driven Products6 ECTS
    • NoSQL Databases6 ECTS
    • Digital Transformation Strategies6 ECTS
    • English Language2 ECTS
    6

Academic path

Year 3

60 ECTS
Semester 530 ECTS
  • Deep Learning Programming
    6
  • Natural Language Processing (NLP)
    6
  • Cloud Computing for AI
    6
  • AI in Operations & Supply Chain Management
    6
  • Elective course pool (choose 6 ECTS)
    • Cybersecurity for AI Systems6 ECTS
    • AI for Digital Marketing Strategy3 ECTS
    • Big Data Technologies6 ECTS
    • English Language2 ECTS
    6
Semester 630 ECTS
  • DevOps for AI Systems
    6
  • AI in Human Resources & Talent Analytics
    6
  • AI in Entrepreneurship & Innovation
    6
  • Capstone Project / Internship
    8
  • Elective course pool (choose 4 ECTS)
    • Advanced Business Analytics6 ECTS
    • AI for Financial Forecasting6 ECTS
    • Intelligent Robotics for Business6 ECTS
    • English Language2 ECTS
    4

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

Program Learning Outcomes

Knowledge

  • Demonstrate understanding of artificial intelligence concepts, machine learning techniques, and business analytics methodologies.
  • Explain fundamental business principles, organizational processes, and digital transformation strategies.
  • Understand the ethical, legal, and societal implications of AI applications in business environments.

Skills

  • Develop and implement AI-driven solutions to address business challenges and improve organizational performance.
  • Analyze and interpret business data using statistical, computational, and machine learning methods.
  • Communicate technical and analytical findings effectively to technical and non-technical stakeholders.

Competencies

  • Work independently and collaboratively in multidisciplinary AI and business projects.
  • Take responsibility for professional decisions involving AI implementation and digital transformation initiatives.
  • Implement ethical, legal, and governance frameworks in AI-enabled organizations.
  • Adapt effectively to emerging technologies and evolving business requirements.

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

  • AI Business Analyst
  • Data Analyst and Business Intelligence Analyst
  • AI Consultant and Digital Transformation Specialist
  • Machine Learning Associate and Entry-Level Data Scientist
  • Product Analyst and Business Systems Analyst
  • Innovation and Technology Manager or AI Project Coordinator
  • Entrepreneur / Startup Founder
  • Employment sectors include technology companies, fintech organizations, consulting firms, telecommunications, e-commerce, manufacturing, healthcare, public institutions, NGOs, startups, and international organizations.
  • Graduates develop competencies in AI and machine learning applications, business analytics, data-driven decision-making, digital transformation management, project leadership, process optimization, stakeholder communication, and responsible AI implementation.