Python for Finance

Half-year programme

Python for Finance

Online Study Programme

The programme gives you the opportunity to combine financial expertise with Python skills, enabling you to contribute to the development of new software products for the financial industry.

Online Studies

7 January 2025More startups

11 March 2025

12 August 2025

14 October 2025

1/2 year full time | 1 years part time

Full time: NOK 44.000,- per semester
Part time: NOK 22.000,- per semester

State Educational Loan Fund (Lånekassen)

How are AI-based tools used in the Python for Finance programme?

AI-based tools are seen as valuable enhancements for financial tasks such as forecasting, anomaly detection, and portfolio optimization. These tools can accelerate processes like data preprocessing, feature engineering, and model prototyping, allowing for faster insights and better decision-making. However, it’s important to note that AI-generated outputs in financial contexts may not always align perfectly with regulatory or business requirements.

As a finance-focused practitioner, you will be taught to critically evaluate, refine, and adapt AI-generated code and insights to ensure accuracy in your financial analyses, robustness of models, and compliance with industry standards. AI is viewed as a support mechanism that complements your Python programming skills and financial expertise, helping you deliver optimal results.

How is AI used in the workplace for financial programming with Python?

In the financial sector, AI is transforming how professionals use Python to manage data and develop solutions. AI can automate repetitive tasks like transaction classification, fraud detection, and risk analysis, improving workflow efficiency. This allows professionals to focus more on interpreting results, building custom solutions, and tackling complex financial challenges.

However, AI-driven tools are not always free of errors or suitable for all financial situations. A strong understanding of both finance and Python programming is essential to critically assess and refine AI-generated insights, ensuring that solutions are accurate, compliant, and tailored to the specific needs of the financial industry.

Why Study Python for Finance?

Python for Finance is designed for people who have a finance background or who work in the finance industry. The aim of the programme is not to train full developers, but to enable finance professionals to automate routine tasks and communicate software requirements to larger development teams.

Python is a programming language tailored to the needs of the financial industry, combining readability with frameworks that make it easy to build web applications and automate trivial processes. It is widely used in fields such as data science, security testing, scientific computing, and finance. Well-known websites like Google, Pinterest, and Instagram utilize Python, and its increasing popularity offers many job opportunities for skilled Python developers.

Career Opportunities

There are currently a large number of roles in the financial industry that require Python skills. The main aim of this programme is to give you relevant hands-on experience that you can use immediately. Relevant job opportunities may include:

  • Machine Learning Engineer
  • Data Scientist
  • Automating common tasks, like in Excel
High Demand for Finance Professionals with Python Skills

High Demand for Finance Professionals with Python Skills

Programme information

No previous programming experience is required for this programme. Python for Finance emphasises a hands-on approach and covers enough theory to help you understand Python better. Along the way, you will build a foundation for learning a new framework or programming language.

The version of Python used in the programme is "Vanilla Python", a term used to describe the standard version of the programming language without additional libraries or frameworks.

Read more about the study program in our course catalog.

Subjects in Python for Finance:

  • Introductory Python Programming
  • Intermediate Python Programming
  • Phase 1 Portfolio
  • Data Manipulation
  • Visualisation & Reporting
  • Phase 2 Portfolio
School: Noroff Higher Vocational College (Noroff Fagskole)
Application deadline: Continuous admission. Applications are processed in the order they are submitted.
Language of instruction: English
Accreditations: Approved for loans and grants from the Norwegian State Educational Loan Fund (Lånekassen). Accredited by NOKUT.
Credits: 30 ECVET

Hardware and software

Recent computers with Windows, Linux or MacOS (Intel and Apple Silicon) all support Python. Python 3 and the tools you will use in the program are also free.

Noroff has ongoing admissions, and applications are processed in the order they are received. The earlier you apply, the earlier you can secure a study place.

To qualify for the program, you must have general study competence or vocational education with a professional certificate. It is also possible to apply based on recognized prior learning.

For international students, depending upon which country you have received your education from, the requirements will differ. Please use this website where you can find the specific requirements for your country at the bottom of the page.

You can read more about admission requirements here.

Special Admission Requirements for Python for Finance

Requires at least two years' experience from banking, finance or insurance, e.g. as a financial, customer or insurance advisor, financial consultant or finance employee.

All our study programs are approved for loans and grants from the Norwegian State Educational Loan Fund (Lånekassen). You can apply to the Loan Fund for basic support (loan and grant; NOK 151,690) and tuition fees (NOK 77,192).

As an adult student, you can receive loans and grants from the State Educational Loan Fund. This also applies if you work while studying.

As a main rule, you must be a Norwegian citizen to receive support from the Norwegian State Educational Fund. However, foreign citizens may also be entitled to financial support. Check here to see if you are eligible.

You can read more about payment, loans, and grants here. 

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