Python for Finance

This Python for Finance programme will empower you to combine your domain knowledge in finance with basic to intermediate Python skills, so you can contribute to the development of novel software products for the finance industry.

Python is a programming language that combines a high level of readability with powerful libraries and frameworks that make it easy to build web applications and automate trivial processes. Python is widely used in diverse fields such as data science, security and penetration testing, system administration, scientific computing and finance. Several well known websites like Google, Pinterest and Instagram include functionality built with Python. This growing popularity means there are plenty of job opportunities available to skilled Python programmers. In addition, the readable syntax makes Python an ideal stepping stone to learn other programming languages and frameworks, even for someone learning to code for the first time.

Suited to the finance industry

Python consist of a vast ecosystem of scientific, mathematical and data analytics libraries ideally suited to the finance industry. Financial giants like Goldman Sachs, PayPal and JP Morgan Chase rely on the Python toolset to build trading systems, perform risk analysis, and analyze big data to inform trading strategies. Startups, with their need for efficiency of software development with little resources also benefit from the open source nature and vibrant community of Python developers who contribute new tools and share their knowledge.

Python for Finance will emphasise a practical approach, covering just enough theory to help candidates better understand Python and to build a foundation for learning any new framework or programming language.

Python's evolution as a language tailored to the specific needs of the finance industry, its rich ecosystem of libraries, and its community support have made it a cornerstone in the world of finance. Its adaptability, combined with its ability to handle complex financial calculations and data analysis, has cemented its place in banks and financial institutions around the world.

The Python version used in the program is "Vanilla Python”, which is a term used to describe the core and standard version of the Python programming language without any additional libraries or frameworks. It represents the basic and fundamental features of Python that are available in its standard library.

Python for Finance, Noroff

Programme objectives

The programme is aimed towards candidates who have already completed a financial qualification or is currently working in the finance industry. No prior coding experience is necessary. The programme is not intended to produce fully fledged developers, but to enable finance practitioners to automate routine tasks relevant to their job roles or communicate software requirements to larger software development project teams. Candidates will graduate with basic to intermediate Python and Jupyter Notebook skills, be able to perform data analysis with some of the Python libraries and generate visual reports.

Emner i Python for Finance:

  • Introductory Python Programming
  • Intermediate Python Programming
  • Phase 1 Portfolio
  • Data Manipulation
  • Visualisation & Reporting
  • Phase 2 Portfolio

The Candidate...

  • has knowledge of several programming constructs and environments available to a Python developer
  • has knowledge of basic concepts, processes and tools for data collection and statistical analyses
  • has knowledge of Python libraries used for data manipulation, visualisation and reporting
  • has insight into regulations, standards, agreements and quality requirements relevant to coding, data manipulation and reporting
  • has insight into coding, data manipulation and data visualisation best practices
  • has knowledge of coding in Python to perform basic financial data analytics
  • can update his/her vocational knowledge of different programming languages, Python libraries and frameworks
  • understands the importance and value of Python proficiency in the finance industry
  • can apply vocational knowledge to install and configure the programming environment in Windows or macOS
  • can apply vocational coding knowledge to write Python scripts to perform basic financial analytics
  • can apply vocational coding knowledge to automate tasks related to the finance industry
  • masters relevant vocational Python coding tools, materials, techniques and styles
  • can find information and material that is relevant to a vocational financial analytics problem
  • can study a situation and identify issues in the finance industry and what coding measures need to be implemented
  • understands the ethical principles that apply in the collection, analysis and reporting of finance data
  • has developed an ethical attitude in relation to coding
  • can carry out data analysis and reporting based on the needs of decision makers in the finance industry
  • can build relations with his/her peers and collaborate with stakeholders in the finance industry
  • can develop work methods, products and/or services of relevance to financial data analytics

Recent Windows, Linux or MacOS (Intel and Apple Silicon) computers all support Python. Python 3 and the tools you will use on the programme is also free.

Job opportunities

The programme is intended as an opportunity for candidates to add to their current financial industry education and/or experience. The target group of Python for Finance will have a qualification to either enter the finance industry, or are already employed in some finance role. Graduates will possess competence to use Python libraries primarily to analyse complex financial data and produce interactive reports. They would also be able to effectively communicate with development teams building new or maintaining legacy financial systems.

Currently, there is a vast selection of job listings in the finance industry looking for proficiency in Python. The main objective of this programme is to provide candidates with relevant practical experience they can immediately apply. The education also lays the foundation for candidates who wish to delve deeper into programming – either to learn more advanced Python topics or to explore different programming languages.

Get Study Guidance

Do you have questions about the program or your education choice in general? Register and get free study guidance.


Programme information


January 9, 2024
March 12, 2024
August 13, 2024
October 15, 2024
Read more about semester start.

Application deadline: Ongoing admissions
Duration: 6 months full time
1 year part time
Programme language: English
Tuition online:

EUR 4.200,- per semester full time
EUR 2.100,- per semester part time

Accreditations: Approved for loans and grants from the State Educational Loan Fund. NOKUT accredited.
Admission requirements: Admission by formal competence or admission by prior learning. Requirement of min. two years work experience from banking, finance or insurance as e.g. financial, customer, or insurance advisor, financial consultant or finance employee. Read more.
Credits: 30 ECVET

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