
Bachelor in Data Science
Oslo, Norway
DURATION
3 Years
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
15 Mar 2025
EARLIEST START DATE
Aug 2025
TUITION FEES
NOK 54,200 / per semester *
STUDY FORMAT
On-Campus
* Price will vary for applicants outside the EU/EEA; unfortunately, we do not offer scholarships for this program
Introduction
The Bachelor in Data Science is a research-based full-time undergraduate-level program covering the academic disciplines of computer science, information science, statistics, computational linguistics, and data ethics. The teaching language is English. Throughout the studies, a close collaboration with the (inter)national industry is applied. Guest lectures are organized frequently and courses are given by a combination of national and international staff from partners in academia and business. The content of the courses is aligned with industry needs, and real-world cases are applied in assignments and exams. After completing the degree, the candidates can be recruited to several different positions in the private and public sectors, as well as pursue a master’s degree nationally or internationally. Some examples of job opportunities are data analyst, data scientist, business developer, project manager, big data specialist and several more.
The Bachelor in Data Science offers many opportunities for postgraduate studies. The graduate can find relevant master's studies in computer science, artificial intelligence, and advanced analytics in information and smart systems. Upon completion of a bachelor's degree from Kristiania, the students will be eligible to apply for a master's degree or experienced-based master’s program in Norway or abroad.
This programme is for those who are passionate about the IT discipline and who want a career within an exciting field in growth.
Academic department
The School of Economics, Innovation, and Technology consists of two departments:
The School of Economics, Innovation, and Technology delivers research and study programmes at the bachelor and master levels. The emphasis for both research and study programmes is on economics, innovation, digitalization and information technology. Information science, information systems and the interaction between technology and human beings are other exciting focus areas. The department is expanding its online offers and offers further and continuing education in cooperation with working life. The department has well-established research groups and research labs at a high international level.
How we work
Our research emphasizes economics, innovation, digitization and IT. In addition, there are several exciting research projects in applied informatics, information systems and human-computer interaction. Our lecturers have extensive experience both within industry and academia. Relevant working life experience is brought into the teaching through lecturing and guest lecturing. This will make you used to working life challenges and ease the transition between study and work life.
Campus Life
Kristiania is a place for everyone, whilst being a place where you will study along with others who share your passions. An education from Kristiania is practice-oriented, which makes our students sought-after in the labour market, even before they have finished their education. The students' line associations make for opportunities to meet and bond based on shared interests, while the incubators like Loftet and Bryggeriet creates a bustling and inspiring environment for the students' own companies.
Gallery
Admissions
Curriculum
The Bachelor in Data Science consists of a total of 180 ECTS credits.
This bachelor's degree lasts three academic years, and each academic year is divided into two semesters. Here you can see an overview of compulsory subjects and what opportunities you have for practice, exchange and specialization. We reserve the right to make changes.
First Year
1 semester
- Data Ethics and Regulations PGR105 7.5 ECTS
- Linear Algebra PGR106 7.5 ECTS
- Python Programming PGR107 7.5 ECTS
- Databases PGR111 7.5 ECTS
2 semester
- Big Data and Cloud Computing PGR108 7.5 ECTS
- Probability and Statistics PGR109 7.5 ECTS
- Visual Analytics PGR110 7.5 ECTS
- Information Security PGR114 7.5 ECTS
Second Year
3 semester
- Data Structures and Algorithms PGR206 7.5 ECTS
- Machine Learning and Natural Language Processing PGR210 15 ECTS
- Advanced Programming for Data Science PGR211 7.5 ECTS
4 semester
- Electives 30 SP VALUTV99930E 30 ECTS
Third Year
5 semester
- Software Design PG3302 7.5 ECTS
- Deep Learning PGR207 7.5 ECTS
- Predictive Analytics PGR304 7.5 ECTS
- Agile Project PGR307 7.5 ECTS
6 semester
- Bachelor project BAO304 22.5 ECTS
- Research Methods PGR306 7.5 ECTS
Program Outcome
The Bachelor of Data Science teaches you about fundamental topics within information technology as well as the latest research in the field. You will work with real cases from the industry, and the latest IT tools and gain an in-depth understanding of subjects such as algebra, programming and IT regulations.
- Information Risk and Security
- Machine Learning
- Big Data and Cloud Computing
- Research Methods
- Predictive Analytics
Following the completion of the course, you will have the tools needed to begin an exciting career within an industry in rapid growth. You will also have several options at the master's level, including the Master’s degree in Information Technology at Kristiania University College.
Program Tuition Fee
Career Opportunities
Thanks to digitalisation and autonomous systems, there has been a large growth in the need for skilled IT technicians within a variety of industries, both in Norway and abroad. You are able to work in both the public and private sectors, or you can choose to become a freelancer.
Examples of positions you will qualify for include:
- IT Consultant
- Data Scientist
- Programmer
- Solution Specialist
This is just a selection of the possibilities that will be available to candidates who are passionate about the discipline and who want to build a career within an exciting industry.
Program Admission Requirements
Show your commitment and readiness for Grad school by taking the GRE - the most broadly accepted exam for graduate programs internationally.