BAKIUA Bachelor’s Degree in Artificial Intelligence - Development and Application
Bachelor’s Degree in Artificial Intelligence - Development and Application
- Number of credits180
- Part-time/full-timeFull-time
- Start semester2026 Autumn
- Language of instructionNorwegian/English
- CampusHamar
The programme of study’s course composition and progression are shown in the course overview study model. Subject areas relevant to and connected with AI will undergo major changes in the coming years. The elective courses will be adapted to the portfolio of studies at the various INN University faculties and the needs of society at large. Due to the rapid development of AI, new courses within several subject areas at INN University will be developed just prior to semesters 4 and 5, so that students receive the most up-to-date and broad interdisciplinary programme associated with applied AI. New courses may be within the fields of finance, economics, health, exercise science, clinical decision-making, agriculture, bioinformatics, economics, security and emergency preparedness, education, game development, television and film, to name just a few. These courses will most likely be a combination of some of the abovementioned areas.
Artificial intelligence (AI) is developing at a furious pace and is important for working life both today and in the future. AI is seen as one of the most transformative technologies of the 21st century. The Bachelor’s Degree in Artificial Intelligence – Development and Application will provide students with a solid understanding of AI technology and put them at the forefront of future innovations.
AI has the potential to increase efficiency and productivity in the workplace, reduce costs and free up time for employees to focus on more creative and complex tasks. AI can also help analyse large amounts of data quickly and accurately, thereby providing a better basis for decisions. This can be useful in areas such as product development, content production, research, marketing, risk assessment, recruitment processes and market development.
While AI can be of great benefit, the technology may also have implications for the future labour market and which jobs AI can fully or partially replace. We are living in a time where AI is being increasingly used in working life. It is therefore important for students to be at the forefront and develop new skills in order to keep themselves relevant. In addition to technical skills, abilities such as creativity, problem-solving, emotional intelligence and interpersonal skills will still be crucial. The ability to collaborate with and effectively manage both humans and AI systems will be in demand. AI will be a powerful resource in working life, and it is important to be aware of both the opportunities and the challenges it brings.
The bachelor’s degree programme ‘Artificial Intelligence – Development and Application’ is a programme of study in which students can choose to focus solely on the development of artificial intelligence tools, or choose a more interdisciplinary direction involving both development and application of AI. As this is a programme of study under continuous development, the school is actively working to establish cooperation with existing bachelor’s programmes in other disciplines with which students studying this programme can collaborate. Therefore, arrangements have been put in place so that students within a specialisation can carry out their bachelor’s thesis as an interdisciplinary project together with students within the specialisation they have chosen. Plans are also in place so that students can work on collaborative projects with relevant trade and industry or base their bachelor project on their work placement.
Artificial intelligence is a groundbreaking technology that has the potential to change and improve many aspects of our society. By taking advantage of the opportunities that AI provides, we can create a smarter and more efficient world.
AI is the development of computer systems capable of performing tasks that normally require human intelligence. The aim of AI is to develop computers and algorithms that can learn, think, understand and adapt in the same way as humans.
One of the reasons AI is important is its ability to automate repetitive and time-consuming work. By performing tasks that previously required extensive human effort, AI can free up time and resources for other purposes. The correct use of the right tools and methods can therefore contribute to increased productivity and efficiency in many different industries.
Another key benefit of AI is its ability to learn and adapt over time. AI systems can learn from experience and adjust their methods based on feedback. This enables them to continuously improve and adapt to different situations, which is especially important in an ever-changing and complex world.
At the same time, it is important to be aware of the challenges and ethical issues associated with AI. Among other things, this includes potential discrimination, data protection and dependence on technology. It is therefore essential to have ethical guidelines and regulations in place that ensure that AI benefits society as a whole.
The bachelor’s programme in Artificial Intelligence includes courses that focus both on the development and application of AI in various disciplines, including ethics and law. The core of the programme of study involves technology development, programming and software development, as well as application of the tools.
In the first three semesters, basic skills in the development of AI will be provided that enable students to take different directions in their further course of study. The students will become well acquainted with the technology and what is required to develop good AI systems. In the fourth and fifth semesters, the programme of study is divided between compulsory courses focusing on the latest in AI and machine learning (ML), both from a development perspective and from an application perspective. In addition, students will be able to choose elective courses purely within AI development or other subject areas. As of now, the alternative will consist of courses that take a broad view of how AI and ML can be applied to create societal value. As the programme of study develops, efforts will be made to provide further opportunities to build deeper basic skills within specific fields of study currently offered at INN University. The aim of this is to better explore the possibilities for applying AI and ML within the given subject area. Among others, these include economics and management, finance, emergency preparedness, innovation and political science, natural sciences and biotechnology, agricultural technology, humanities and education, film, TV and gaming, sports science, health sciences, philosophy and many more.
The idea behind the programme of study is that this interdisciplinary approach will allow students to benefit from varied perspectives and knowledge. They gain a deep understanding of the technical aspects of AI regarding large and complex data sets, while also gaining insight into the human and societal dimensions of this technology. Students will be able to apply their knowledge and skills to innovation, make ethically sound decisions, and contribute in a meaningful way to knowledge and use of artificial intelligence and large and complex data sets.
The interdisciplinary approach facilitates collaboration, critical thinking and adaptability, enabling students to succeed in a constantly changing field. Upon successful completion of their studies, students will have gained a comprehensive understanding of AI and large and complex data sets, will be well equipped with the ability to contribute in a meaningful way within various industries, and able to deal with ethical and societal challenges related to AI technology.
Learning outcome
A candidate who successfully completes the programme will have the following total learning outcomes defined in knowledge, skills and general competence:
The student has
- knowledge about the basic principles, algorithms, human-centred design principles and techniques used in AI and machine learning
- knowledge about mathematical and statistical concepts in order to analyse, model and interpret complex data sets
- broad knowledge about practical applications and developments in society for AI tools
- knowledge about ethics and law associated with AI, including fairness, access and accountability
The student can
- apply programming, data processing and human-centred design methods in the development of AI
- create new AI based on solutions and evaluate their effectiveness when encountering real-world challenges
- work efficiently in different teams, and contribute different academic perspectives and approaches for shared goals and results
- communicate work-relevant AI tools, theory, forms of expression and methods, both orally and in writing
The student can
- demonstrate an understanding of ethical, legal and societal implications for AI, ethical frameworks, and responsible practices in the development and use of AI systems
- use a human-centred approach to design in order to develop AI-driven products and services that address real-world needs
- collaborate efficiently in multidisciplinary teams, in different contexts and across disciplines, and apply diverse perspectives and expertise to solve complex AI problems both orally and in writing
- understand the cultural, human, societal and economic implications of AI
- think critically and communicate the efficient and ethical use of AI in various sectors and organisations
The teaching is based on lectures, practical exercises, study groups/group work, presentations and self-study. Some courses will be module-based using flipped classroom methodology and problem-based learning. This is to give students better opportunities to specialise in different subject areas and facilitate more collaboration across disciplines. The Canvas learning platform is used as a communication channel in all courses.
Most courses utilise a practical approach, place significant emphasis on problem solving and contain required coursework both individually and in groups.
Students must use their own computers with relevant software. The school has its own requirement specification regarding the type of computer it recommends students to buy. This is for those students who intend to choose a specialisation within the field of development from the 4th semester.
Attendance in classes is mandatory, and there are compulsory courses in the programme. There is an 80% attendance requirement in teaching sessions and a 100% attendance requirement in specific learning activities. This is in accordance with the teaching plan for each course in the programme of study.
Each student shall have a development meeting per semester with an academic supervisor.
The programme of study is for students who have an interest in the application and development of artificial intelligence in many different parts of trade and industry and the public sector. The programme equips students with the necessary skills and knowledge to work with AI. Students will gain skills and knowledge about machine learning and deep learning, and the application possibilities of AI within a chosen subject area, depending on what they want to specialise in.
The programme is suitable for students who have an interest in solving complex problems using AI technologies.
Admission requirements
The Bachelor’s Degree in Artificial Intelligence – Development and Application will open many doors.
There is a growing demand for professionals in this field, and a bachelor’s degree will provide students with the skills and knowledge necessary to take advantage of career opportunities.
AI is known for its ability to solve complex problems and drive innovation. By taking the Bachelor’s Degree in Artificial Intelligence – Development and Application, students will get the opportunity to learn the fundamental techniques and methods required to develop AI systems that can help solve real-world problems.
AI technology will continue to evolve in the future, and as an AI developer, you will have the opportunity to influence the development and application of this technology.
AI development requires an interdisciplinary approach that combines knowledge from computer science, mathematics, engineering and psychology. The Bachelor’s Degree in Artificial Intelligence will provide you with a broad and diverse education enabling you to work across different disciplines.
A bachelor’s degree in the development of AI can provide a solid career path in a field that is in high demand and has the potential for significant impact.
Currently, artificial intelligence is playing an increasingly significant role in our society. AI is used in everything from healthcare and the automotive industry, to marketing and banking, and the vast majority of us use the technology every single day without even realising it.
AI has the potential to provide a better basis for decision-making, and because AI systems are able to analyse large amounts of data quickly and accurately, they can provide better information and insights.
Artificial intelligence is important in many professions and industries. Some of the areas where AI is used and relevant include:
- Computer science and informatics: AI is a key part of computer science and informatics, where scientists and engineers work to develop and implement AI algorithms and systems.
- The education sector: AI can be used in teaching, training and administrative processes, through things such as intelligent guidance systems, virtual assistants, language processing, analysis of research databases, global interaction and knowledge sharing, and predictive analytics.
- Finance, economy and management: AI is used in finance to analyse large amounts of financial data, improve risk management, and automate trading. Management in this context is also an important area AI will affect.
- The health service: AI has the ability to improve diagnostic processes and personalised medication, and predict outbreaks of disease by analysing large amounts of health data.
- The legal sector: AI can be used to automate legal processes such as document and contract reviews, as well as to improve legal decisions based on data analysis.
- Film, TV and game production, text development, image tools, animation and post-production
- Marketing and advertising: AI is used to analyse data on consumer behaviour, develop personalised marketing and automate routine tasks in marketing and advertising.
- Logistics and transport: AI can be used to optimise route planning, improve warehouse management and automate vehicles in the transport sector.
- Energy and renewable energy: AI can be used to optimise energy production, predict energy demand and improve energy efficiency.
AI has the potential to impact almost every industry and profession because it can automate tasks, improve efficiency, and help make decisions based on data analysis.
Upon successful completion of the Bachelor’s Degree in Artificial Intelligence – Development and Application, students will be able to look forward to an exciting and wide variety of career opportunities. The demand for professionals with AI expertise is growing rapidly. This educational programme provides students with the skills and knowledge needed to excel in this field that is in constant and rapid change.
Depending on your choice of specialisation, this programme of study will provide possible job positions such as machine learning engineer, AI engineer, AI developer, AI product manager, computer scientist, AI researcher, AI consultant in various fields such as education, healthcare, the public sector and commerce, robotic engineer, natural language processing specialist, AI ethics and policy analyst.
Students have the opportunity to study at other foreign educational institutions as part of their bachelor’s degree. It is recommended that student exchanges take place in the 4th or 5th semester. Periods of study abroad must receive preliminary approval from the relevant department so that the courses can be included in students’ education plan at INN University. Students may also complete their bachelor’s thesis as an internship in a company in the EU/EEA, with possible financial support from the ERASMUS+ exchange programme.
The programme of study uses international literature, and parts of the teaching are conducted in English.
Students also participate in international forums in most courses.
Students will develop skills in finding and utilising academic information resources within their subject areas, both in education and professional practice. Information literacy is the ability to locate, evaluate and use information and subject matter for one’s own needs. This is a key piece of academic competence and the basis for lifelong learning. INN University Library offers instruction in information literacy both on campus and online. The instruction focuses on referencing techniques, source criticism, plagiarism and subject-specific searches. It is expected that all students have a critical attitude towards sources of information and use these sources appropriately in all written work throughout their entire course of study. Breaches of the rules regarding the use of sources are regulated in the Regulations relating to Admission, Studies and Examinations at University of Inland Norway.
The programme of study is kept up-to-date through the use of new literature, research and methods.
Teaching and learning processes are closely linked to research activities to create a good dynamic and exploratory learning environment. Throughout the course of study, emphasis is placed on critical thinking, problem-solving and analysis through the practical application of research-based theories and concepts.
Students have the opportunity to work together with internal and external actors on research and development projects.
Semester fee
Expenses related to the purchase/rental of software, literature and computer equipment must be expected. For the elective courses, there may be some additional travel expenses in cases where the teaching in the chosen field of study is offered only at one of INN University’s other campuses.
The programme of study uses a grading scale from A to F, where E is the lowest passing grade. Some courses will also use a pass/fail grade. Various forms of assessment are used, both individual written examinations and individual and group-based portfolio assessments.