Studerende går udenfor

Business Analytics & Artificial Intelligence

The programme

The industrial MSc programme in Business Analytics and Artificial Intelligence equips students with the advanced analytical, technical, and strategic skills necessary to lead data- and AI-driven initiatives in organizations. If you are interested in harnessing the power of data and AI to solve complex business challenges, this program is for you.

The program blends extensive coursework in data analytics, AI, digital transformation, and process innovation with practical, hands-on experiences that prepare students to drive impact across industries.

The courses taught in the programme provide you with both a technical and managerial understanding of business analytics and AI. The technical courses give you ‘full stack’ technical skills and understanding to understand and implement business analytics.

You will progress from building a basic understanding of quantitative analytics to working with machine learning models, data operations and data visualization. The management courses offer you the concepts and models for applying data analysis and AI to support decision-making, improve and automate business processes and create business value across a variety of industries.

The MSc in Business Analytics and Artificial Intelligence is a 3-year programme. It has a broad international outlook and is taught in English. Case material is derived from both Danish and international organisations.
 
Studerende

An industrial master

ITU’s industrial MSc programmes are based on a 1 + 2 model. This means one year of full-time study at the university, followed by two years in which students work minimum 25 hours on average per week in a company while continuing their MSc studies. The overall programme still corresponds to 120 ECTS credits, ensuring the same academic level as a traditional MSc degree.

The combination of a part-time academic education with a part-time job allows you to start climbing career levels early, while simultaneously broadening your experience and background with deep understanding of both core and modern topics in data-driven business processes across many domains and organizations. You will have a chance to effectively apply your knowledge to address challenges in designing, developing and managing real-world digital systems.

Studerende i Atrium

Is this programme for you?

This programme is targeted towards students who want to strengthen their careers in areas such as business analytics, data science, tech management and digital strategy. It offers a unique combination of technical insight and business understanding, which are key skills to possess in the current competitive landscape.

Programme structure

The curriculum combines foundational courses with advanced and specialized topics and electives to provide a comprehensive skill set necessary to lead data-driven initiatives in a technology-driven business environment.

1. semester

Digital Transformation
(7.5 ECTS)
Quantitative Research Methods
(7.5 ECTS)
Technical Foundations of Machine Learning and Artificial Intelligence
(7.5 ECTS)
Business Applications of Artificial Intelligence
(7.5 ECTS)

2. semester

Big Data Operations and Infrastructure
(7.5 ECTS)
Data-Driven Storytelling and Visualization
(7.5 ECTS)
Process Innovation and Automation
(7.5 ECTS)
Digital Business Strategy
(7.5 ECTS)

3. semester

Capstone Project in Business Analytics
(15 ECTS)
Part-time job

4. semester

Elective
(7.5 ECTS)
Elective
(7.5 ECTS)
Part-time job

5. semester

Thesis
(15 ECTS)
Part-time job

6. semester

Thesis
(15 ECTS)
Part-time job
Billede af ITU og DR bygningen - illustration til faget IT og baredygtighed

Career opportunities

Graduates from the MSc in Business Analytics & Artificial Intelligence are prepared to take on a variety of roles, e.g. business analytics manager, data scientist, AI consultant, digital transformation strategist and innovation manager. With strong technical, analytical and strategic competencies, you are equipped to take on leading positions in data driven organisations and contribute actively to the success of businesses in an AI-driven economy.