Program Overview

Introduction to the Master Programme in Computer Science

The Master Programme in Computer Science, specialising in Machine Learning, is designed to equip students with the skills and knowledge necessary to excel in the field of machine learning. With a focus on research and development of complex computer systems, the programme empowers students to become critical thinkers with a comprehensive understanding of the subject.

Programme Details

Level and Degree

• The programme is a Second Cycle programme.
• The degree awarded is a Degree of Master (60 credits).

Programme Code and Entry Requirements

• The programme code is TDGH6.
• Entry requirements include a Bachelor's Degree in Computer Science or other equivalent field, alternatively a Bachelor's Degree in Computer Science and Engineering.
• At least 22.5 credits in programming and 22.5 credits in mathematics, of which at least 3.5 credits in statistics, and English 6, or English level 2, or the equivalent.

Application and Tuition

• Application starts in Autumn 2026, week 36.
• The rate of study is 100%.
• The form of study is campus education.
• The location is Kristianstad.
• The language of instruction is English.
• The application code is HKR-09GHK.
• The tuition fee is 135,000 SEK (EU/EEA Citizens are not required to pay fees).

Career Path and Working Life

The Master programme in Computer Science, specialising in Machine Learning, offers students the opportunity to specialise and deepen their expertise in machine learning and artificial intelligence (AI) fields that are constantly evolving and in high demand for qualified specialists. The programme opens doors to strengthen career prospects and provides a strong competitive advantage in the job market.

In-Demand Specialist Expertise

There is a significant demand in the job market for qualified specialists in machine learning and AI. Companies and organisations strive to integrate advanced technologies to analyze vast amounts of data generated daily, create intelligent systems, and solve complex problems, resulting in an exciting job market with numerous opportunities.

Career Opportunities

Upon graduation, students have the opportunity to lead and influence future innovations, contribute to solving real-world challenges, and shape the future of technology. Many high-level positions in the field require a deeper level of knowledge and experience. The programme provides students with in-depth knowledge of fundamental principles and advanced techniques in machine learning and AI.

Possible Professional Roles

• Machine learning specialist
• Data scientist
• AI researcher
• AI consultant
• Natural Language Processing (NLP) specialist
• Developer of autonomous systems
• Machine learning architect
• Financial analyst with a focus on machine learning

Ethics and Responsibility in Machine Learning

Ethics and responsible practices are at the core of the programme. Students develop the ability to make informed decisions, considering the scientific, societal, and ethical aspects of machine learning. The programme promotes fairness, transparency, and accountability in the development and deployment of machine learning systems.

Independent Thinking and Problem-Solving

The programme fosters an environment that encourages independent thinking and problem-solving. Students learn to identify and formulate research questions, plan and execute qualified tasks within given timeframes, and effectively communicate their findings to diverse audiences. These skills are invaluable in both research and professional settings.

Industry Collaboration

The Master programme in Computer Science is designed in close collaboration with industry and tailored to meet real-world needs. Both large and small companies in the region have served as advisory partners to ensure relevance and practical applicability.

International Perspective

The Master programme in Computer Science prepares students for an international career. The programme attracts students from around the world, and students study in a class with significant international diversity. This global composition of students not only enriches the academic experience but also opens up opportunities for students to create valuable international networks during their studies.

Alumni Testimonials

Alumni of the programme have found the professional contacts and network they developed during their studies to be incredibly useful in their careers. The programme's unique alignment of AI and machine learning with sustainability has been particularly appealing to some students, who have gone on to work on projects such as detecting bacteria using ML and flood forecasting systems using AI and ML. The most rewarding aspects of the studies have been learning new technologies and applying them, with collaborative group assignments providing valuable teamwork experience.