course-details-portlet

BBAN3001 - Essentials of Business Analytics

About

Examination arrangement

Examination arrangement: School exam
Grade: Letter grades

Evaluation Weighting Duration Grade deviation Examination aids
School exam 100/100 4 hours A

Course content

Business Analytics is an interdisciplinary field that combines data science with business, economics and management. Business analytics deals with the collection, processing and analysis of data as well as the development of explanatory, predictive and normative models to support decisions and solve problems.

Learning outcome

KNOWLEDGE: The student will acquire knowledge about:

  • the drivers and trends of business analytics,
  • the business analytics life cycle,
  • how business analytics is useful in central business functions,
  • central concepts of business analytics,
  • data collection and data sources,
  • data visualization,
  • basic statistical and regression methods,
  • basic concepts of optimization,
  • basic methods for classification and clustering,
  • basic concepts of artificial neural networks.

SKILLS:

  • The student can retrieve data from different open and proprietary data sources and import these data into Excel spreadsheets or data frames.
  • The student knows how to visualize data with tables, plots and diagrams in Excel and Python.
  • The student acquires basic programming skills in Python.
  • The student can carry out statistical analyses by means of Excel and Python.
  • The student can implement optimization and simulation models in Excel and Python
  • The student can discuss and reflect on the usefulness of analytics tools for business decisions.

GENERAL COMPETENCE:

The student gains expertise in how business analytics can be used to address and solve business problems and decision making. The student becomes familiar with the processes involved in collecting, analyzing and reporting business data. The student acquires skills to handle business analytics with appropriate software.

Learning methods and activities

Lectures (physical or digital), videos, written exercises, data exercises and essay writing.

Compulsory assignments

  • Mandatory Essay

Further on evaluation

In the exam, the majority of exercises need to be implemented by means of Microsoft Excel or Python.

In case of postponed examination (continuation examination), written examination may be changed to oral examination.

Other calculators that are allowed in the course are: Casio FC-100V and Texas Instruments - BAII Plus.

Specific conditions

Compulsory activities from previous semester may be approved by the department.

Admission to a programme of study is required:
Business Administration (BØA)
Business Administration (ØABACHELOR)
Miscellaneous Courses - Faculty of Economics and Management (EMNE/ØK)

Required previous knowledge

Elementary course in mathematics, statistics and managerial economics.

Course materials

The curriculum will be announced when the course commences.

More on the course

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Facts

Version: 1
Credits:  7.5 SP
Study level: Intermediate course, level II

Coursework

Term no.: 1
Teaching semester:  AUTUMN 2022

Language of instruction: English

Location: Trondheim

Subject area(s)
  • Economics and Administration
Contact information
Course coordinator:

Department with academic responsibility
NTNU Business School

Examination

Examination arrangement: School exam

Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
Autumn ORD School exam 100/100 A 2022-12-22 09:00 INSPERA
Room Building Number of candidates
Summer UTS School exam 100/100 A INSPERA
Room Building Number of candidates
  • * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.
Examination

For more information regarding registration for examination and examination procedures, see "Innsida - Exams"

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