BAKIUA Bachelor’s Degree in Artificial Intelligence - Development and Application

Bachelor’s Degree in Artificial Intelligence - Development and Application

    • Number of credits
      180
    • Part-time/full-time
      Full-time
    • Start semester
      2024 Autumn
    • Language of instruction
      Norwegian/English
    • Campus
      Hamar
Introduction

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 important. 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. Students can meet the requirements for admission to one of several master’s degree programmes at INN University, depending on the course composition they choose.

Programme structure and content

The programme of study’s course composition and progression are shown in the course overview Study model. Subject areas with relevance and links to AI will undergo major changes during the coming years. Therefore, elective courses offered in the fourth and fifth semesters will vary and may change, and some courses may also be offered at other INN University campuses. 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 offer associated with applied AI. New courses may be within the fields of exercise science, clinical decision-making, agriculture, bioinformatics, economics, security and emergency preparedness, health, education, game development, television and film, to name just a few.

Course Models
Bachelor’s Degree in Artificial Intelligence - Development and Application
  • T - Teaching subject
  • E - Elective course
  • M - Mandatory course
  • P - Professional training
CourseType24 A25 S25 A26 S26 A27 S
M
10
M
10
M
10
M
10
M
10
M
10
M
10
M
10
M
10
Elective courses
3030
 
Development of AI systems
 
 
E
10
 
 
E
10
 
 
E
10
 
 
E
10
 
 
E
10
 
 
E
10
 
AI in natural sciences
 
 
E
10
 
 
E
10
 
 
E
10
 
 
E
10
 
 
E
10
 
Other electives
 
 
E
10
 
 
E
10
 
 
E
10
 
 
E
10
 
 
E
10
 
 
E
10
 
 
E
10
M
30
About the study

Artificial intelligence (AI) 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. Artificial intelligence (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, such as innovation and creative work. The right use of the right tools and methods can 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 (AI) 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, students can choose courses and build their further course of study within AI. Students can continue on the development path, or choose to continue with the application of AI within their chosen subject area. The subject areas from which it will be possible to choose elective courses meet the needs of different sectors of society and are affiliated with the various faculties at INN University. These include natural sciences and biotechnology, agricultural technology, humanities and education, economics, film, television and games, sports science, health sciences, philosophy, and many more.

This interdisciplinary approach allows 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 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. By offering courses from several different disciplines, the programme inspires students to approach challenges from different directions and utilise varied knowledge and skills to solve complex problems. 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.

Elective courses will be subject to change. This is especially due to the explosive development of AI, where the world is changing at a rapid pace and we must keep up. What is relevant today may not be relevant in the future. Elective courses and specialisations will be announced well before the fourth semester.

Learning Outcome

A candidate who successfully completes the programme will have the following total learning outcomes defined in knowledge, skills and general competence:

Learning outcome - Knowledge

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 and big data, including fairness, access and responsibility
Learning outcome - Skills

The student can

  • apply programming, data processing and human-centred design methods in the development of AI
  • create new solutions and evaluate their effectiveness when encountering real AI and big data 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
Learning outcome - General competence

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, societal and economic implications of AI
  • communicate the efficient and ethical use of AI in various sectors and organisations
Teaching and working methods

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.

Target group

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.

When working with technology, having a basic understanding of mathematics is an advantage. Students who have not studied mathematics at upper secondary school or equivalent must take a preparatory course in mathematics. The preparatory course is an intensive course that takes place 4 days a week for two weeks and starts at the beginning of the semester. It is also a good refresher course for students who already have upper secondary school mathematics or equivalent. More detailed information about the preparatory course will be available to all applicants well before the start of studies.

Admission requirements

Generell studiekompetanse eller realkompetanse på tilsvarende nivå - Forskrift om opptak til høgere utdanning kapittel 2

 

Rangering

Søkere rangeres etter Forskrift om opptak til høgere utdanning kapittel 7

Admission ranking
Applicants to the program are ranked in accordance with the Regulations for Admission to Higher Education §7
Career prospects and further studies

The Bachelor’s Degree in Artificial Intelligence – Development and Application will open many doors for students. 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, you 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 (AI) 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 central 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 and economics: AI is used in finance to analyse large amounts of financial data, improve risk management, and automate trading.
  • 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, computer scientist, AI scientist, AI consultant in various fields such as education, healthcare, the public sector and commerce, robotic engineer, natural language processing specialist, prompt engineer and AI ethics, and policy analyst.

This bachelor’s programme also provides a foundation for taking further studies and specialisations within the field. Graduates can apply for available master’s degrees at INN University that are relevant to the chosen elective courses in the 4th and 5th semesters.

Internationalisation

This programme of study has a clear international focus. The course literature is based on the international field of AI development and application. The field is also oriented towards the international and global phenomenon of artificial intelligence.

Students have the opportunity to study at other foreign educational institutions during the fourth and/or fifth semester. The period of study abroad must receive preliminary approval from INN University so that the courses can be incorporated into students’ courses of study.

The second and third academic years of study are also suitable for international students. All course teaching during these years of the programme can be conducted in English.

The programme has an international curriculum, and parts of the teaching are in English. Much of the syllabus is also in English.

Students also participate in international forums in most courses.

Information- and source competence

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 Inland Norway University of Applied Sciences.

Research based teaching

The programme of study is kept up-to-date through the use of new literature, research and methods.

Students have the opportunity to work together with internal and external actors on research and development projects.

Expenses

Semester fee

Assessment methods

The programme of study uses a grading scale from A to F, where E is the lowest passing grade. Various forms of assessment are used, both individual written examinations and individual and group-based portfolio assessments.

For practical courses, required coursework that has been passed is only valid up to 12 months after the semester has ended. Students who wish to re-sit a course examination 12 months after passing the required coursework must retake and repass the required coursework. See each course description for where this requirement applies.

Faculty
Faculty of Audiovisual Media and Creative Technologies
Department
Department of Game Development - The Game School