Curriculum Bachelor in Business, Economics and Data Science

• Programme content

  The Bachelor’s degree in Business, Economics and Data Science (BEDS) provides

  training in business administration with a strong technological orientation, organised

  around three core principles:

  • BEDS approaches technology primarily as data analytics, programming, automation

  and artificial intelligence. The programme also addresses the role of technology more

  generally for business and society.

  • BEDS emphasises integration of technology in business and economics, the

  integration of technology across disciplines, and the integration between NHH and

  industry.

  • BEDS applies problem-based and student-centred learning, combined with researchbased

  teaching. Teaching activities connect subjects within each semester to support

  integration. This emphasis on integration ensures that students graduate with a strong

  understanding of how to combine insights from data analytics, information technology

  and economic principles to create sustainable value for firms and their stakeholders

• The structure of the programme

  The semester structure follows a progression from the familiar and manageable to a broader global and sustainability perspective. This structure entails a gradual increase in conceptual and technological complexity and a focus on one over-arching topic per semester:

  Semester 1: The firm and the role of technology in business

  
  Semester 2: Using information technology for capturing and satisfying customers and users

  
  Semester 3: Management and technological change

  
  Semester 4: In the fourth semester, the student has considerable freedom of choice:

  Exchange

  COM2 (5 ECTS) + exchange semester (minimum 25 ECTS)

  or

  Internship

  COM2 (5 ECTS) Personal and Professional Development + COM3 Internship (25 ECTS)

  or

  Electives

  COM2 Personal and Professional Development (5 ECTS) + 25 ECTS that can be selected from all elective courses in BØA and/or available ENGAGE courses.

  Semester 5: Markets and business analytics

  
  Semester 6: Data-driven decisions for sustainable value creation.

  In each semester, students are exposed to a broad range of topics and learning activities

  in economics and business administration, programming and technology, mathematics

  and statistics, ethics and sustainability, and communication and other generic skills.

  The activities are organised as a set of semi-continuous thematic tracks that reflect

  topical coherence and learning progression across the six semesters.

  Technology components are integrated with learning activities and assessments in all

  thematic tracks throughout the semesters.

  Each track consists of a variable number of courses, and all courses in a semester

  address key questions related to the overarching topic for that specific semester.

• Learning outcome

  Upon completion of the programme, the candidates shall have achieved the following learning outcome at the programme level:
  

  KNOWLEDGE

  The candidate

  • has broad knowledge of economics, business administration, information technology, management and innovation.
  • has knowledge of key information technologies and business models, as well as ethics and sustainability challenges.
  • has knowledge of the implications of technological innovation and new business models for relevant issues in economics and business administration.
  • has broad knowledge of mathematics, statistics, empirical methods and programming.
  • has detailed knowledge of how data and data science can be applied in business decisions.
  • is familiar with research and development in relevant areas in economics, business administration and data science.
    

  SKILLS

  The candidate

  • can use information technology to obtain, transform, analyse and apply relevant data.
  • can apply theory and methods from economics, business and data science to analyse problems and recommend decisions.
  • can analyse and solve technology-related challenges in businesses and public institutions.
  • can reflect upon own academic and professional work and make revisions under supervision.
  • can apply programming to support value creation.
  • can communicate relevant issues in economics, business administration, management and technology in different forms and to a variety of audiences.

  GENERAL COMPETENCE

  The candidate

  • understands the role of innovation and creativity in technology-driven business and their relevance for society.
  • can take sustainability, social and ethical issues into account in business decisions.
  • can plan and conduct tasks and projects individually as well as in teams and reflect upon own and others’ performance.
  • can appraise and update own knowledge and skills in business, economics and information technology.
  • understands how globalisation and cultural differences affect businesses, markets and human behaviour and can cooperate in a multicultural context.
  • can facilitate collaboration between specialists in business and technology.

• International opportunities

  In the fourth semester, students can go on exchange to one of NHH’s partner

  institutions. They may choose from a wide variety of courses and are encouraged to take

  courses that are not oƯered at NHH. The programme has a relatively flexible approval

  policy, allowing students to select courses from a broad range of subjects.

  Students may also choose to complete an internship abroad.

• Degree

  DEGREE AND RELEVANCE FOR FURTHER STUDIES

  Upon completion of the BEDS programme, the candidate

  • is awarded the Bachelor’s degree in Business, Economics and Data Science

  • is eligible for direct transition into NHH’s Master’s degree in Economics

  and Business Administration (with the additional title Siviløkonom) and

  the Master’s degree in Accounting and Auditing (oƯered in Norwegian

  only)

  The Bachelor’s degree in Business, Economics and Data Science meets the national

  requirements for a bachelor’s degree in business and administration (Bachelor i

  økonomi og administrasjon) as established by Universities Norway (Universitets- og

  høgskolerådet, UHR).

• Admission requirements

  Admission to the academic year 2026/27:

  Education equivalent to:

  • Norwegian Higher Education Entrance Qualification (GSK)

  • Mathematics R1 or S1+S2

  • English (fellesfag Vg1, 140 hours) from Norwegian upper secondary school

  with minimum grade 4

  For detailed information, please refer to https://www.nhh.no/en/admission (copy url)