Programming for Data Science

Education facts

Code: DS2002

The course treats basic programming concepts, such as: 1. program structures, including statements, expressions, defining and calling functions and data types;  2. control flows, including sequential execution, conditions, loops, iteration, higher-order and recursive functions;  3. data types, including data abstraction and classes such as lists, arrays and dictionaries;  4. principles for code reuse, e.g. functions, objects, arguments, scope and return values;  5. basic concepts of object orientation, e.g. classes, attributes, methods and inheritance;  6. practical considerations when programming and implementing ideas, including algorithmic thinking, testing and use of program libraries. The student develops practical skills through computer labs and practical programming tasks in the project. The course also includes a demonstration of “algorithmic thinking”, that is, going from an idea (in the form of a task description) to a sequence of steps, definition of input and output, division into functions or modules, etc. The students shall then apply this knowledge themselves in individual projects.

Entry requirements

General entry requirements (with the exemption of the requirement in Swedish for those with foreign grades) + English 6, Mathematics 3b or 3c or Mathematics C. Or: English level 2, Mathematics - continuation level 1b or level 1c.

Education offerings

Each offering has its own dates and conditions. Closed offerings are retained as history and do not mean that a new application is open.

• Programming for Data Science

  Halmstad University

  Halmstad

  Start date: 2 November 2026

  End date: 17 January 2027

  Pace of study: 50 %