Curriculum BSc in Business, Economics and Data Science

• Programme content

  BASIC PRINCIPLES

  The BSc in Business, Economics and Data Science (BEDS) relies on three basic principles:

  1. Technology is primarily understood as data analytics, programming, automation and artificial intelligence. A secondary focus is the more general view of technological development and its relevance to business and society.

  2. BEDS will foster integration of technology in business and economics, integration across disciplines, and integration between NHH and the industry.

  3. BEDS will implement problem-based and student-centered learning as well as researchbased teaching. The basic unit of teaching collaboration is per semester, and not per course. Thus, after completing BEDS, the student will have gained a thorough understanding of how to combine insights from data analytics and economic principles in order to create sustainable value for the firm and its stakeholders.

  The programme focuses 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: Academic exchange, electives or internships*
  • Semester 5: Markets and business analytics
  • Semester 6: Data-driven decisions for sustainable value creation.

• The structure of the programme

• Learning outcome

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

  KNOWLEDGE

  The candidate

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

  SKILLS

  The candidate

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

  GENERAL COMPETENCE

  The candidate

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

  PROGRAMME STRUCTURE

  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: Internship, academic exchange or electives
  Semester 5: Markets and business analytics
  Semester 6: Data-driven decisions for sustainable value creation.

  In each semester the student will be exposed to a variety 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 indicate a topical commonality and learning progression across the six semesters.

  Technology components should be integrated with learning activities and assessments in all thematic tracks throughout the semesters.

  Each track consists of a various number of courses . All courses in a semester should address key questions connected to the over-arching topic for that specific semester.

  The key questions and the overall learning outcome for each semester is outlined in more detail in the appendix.

• International opportunities

  The fourth semester (30 ECTS) will be dedicated to internship, academic exchange or electives.

  Internship : Integration between BEDS and the industry is an important aspect of the program and an internship will provide students with valuable professional experience. Students will be offered the possibility to take an internship abroad or in Norway, with a minimum duration of three months.

  Academic exchange abroad: The semester for exchange should contain only electives. Students should be encouraged to take courses of interest that they cannot find at NHH. Given that the BEDS students have no elective courses in the other semesters, we recommend that NHH adopts a relatively flexible approval policy that allows students to select courses over a fairly wide range of academic subjects.

  Electives : Students who cannot go on academic exchange or take an internship semester should be given the possibility to follow electives from BØA or from the ENGAGE.EU course catalogue.

• Degree

  DEGREE AND RELEVANCE FOR FURTHER STUDIES

  Upon completion of the programme of study, the candidate

  • will be awarded the degree BSc in Business, Economics and Data Science.
  • will be eligible for internal recruitment to NHH’s MSc in Economic and Business Administration with the additional title “Siviløkonom” and to Master of Science in Accounting and Auditing (offered in Norwegian only)

  BSc in Business, Economics and Data Science meets all the requirements for a “Bachelor i økonomi og adminstrasjon” as established by the UHR in “Minimumskrav for Bachelor i økonomi og administrasjon (BØA)”

• Admission requirements

  Applicants are eligible for admission if they fulfil the following requirements:

  Applicants with an upper secondary degree from Norway, Sweden, Denmark, Finland, or Iceland

  The admission requirements for applicants with an upper secondary degree from Norway, Sweden, Denmark, Finland, or Iceland are:

  • Higher Education Entrance Qualification (GSK)
  • Mathematics requirement: MATRS (R1 or S1+S2)

  Applications are made through Samordna Opptak.

  Other applicants
  The admission requirements for applicants with an international upper secondary degree are:

  • Passport from the EU/EEA, Switzerland, or UK
  • Upper secondary degree from and issued in the EU/EEA, Switzerland, or the UK. This includes an IB or EB diploma.
  • English proficiency: the detailed requirements are mentioned on the programme’s web pages and are in accordance with GSU requirements.
  • Mathematics proficiency: detailed requirements are mentioned on the programme’s web pages and are in accordance with the Norwegian MATRS requirement.