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MSc in Engineering: Profile Data Science

As a Master in Engineering with a specialisation in Data Science, you will develop and manage data-driven intelligent applications.

You recognise the social and economic opportunities presented by machine learning and help to unlock this potential. Integration into a research unit working closely with industry ensures a high degree of practical application. The programme can be completed full-time or part-time.

Knowledge transfer guaranteed: students offer insights into the MSc Engineering programme.

Start your studies in spring or in autumn.

Factsheet

  • Title/Degree Master of Science (MSc) in Engineering
  • Specialisations Data Science
  • Mode of study Full-time (3 semesters)
    Part-time (7 semesters)
  • Start date Spring semester week 8
    Autumn semester week 38
  • Application deadline Spring semester 31 December
    Autumn semester 31 July
  • ECTS credits 90 ECTS credits
  • Teaching language German/English or French/English
    (Theory modules are taught in one language)
  • Location Biel
    Core modules: Zurich, Lausanne, Lugano
  • School School of Engineering and Computer Science

Contact

Master of Science in Engineering

Focus areas

You focus on the creation of intelligent applications. You learn to evaluate the potential and feasibility of machine learning and data science solutions and to design the practical implementation thereof.

What you will gain your degree

Depending on your personal goals, you sharpen specific skills in the areas of applied statistics, machine learning and the design of smart applications. You use modern laboratories and collaborative workspaces to implement your ideas in projects and in your master’s thesis in collaboration with local research activities. A network made up of industry partners, business partners and every Swiss university of applied sciences provides access to highly relevant and up-to-date engineering expertise from all over the country.

Focus areas

Core Competences Data Science Enlarge image

Programme overview

Combining theory and practice in research projects

Lecturing, practical application and research are all closely linked. We perform research in collaboration with European partners, established companies and leading Swiss start-ups. This allows you to gain experience in the following research fields on the programme:

  • Challenges of machine learning in production and practice
  • Intelligent search engines and recommendation systems
  • Social and societal challenges of AI
  • Fairness and digital ethics
  • Design and implementation of smart applications

Read more about our research in research group Applied Machine Intelligence

Career prospects

The Data Science specialisation gives you the opportunity to pursue a career in the entire field of Data Science. Depending on your skills profile, you could take a leading role in the analysis of data and data flows, or focus on the planning and implementation of new kinds of intelligent solutions. Your knowledge of data engineering, machine learning and applied statistics enables you to identify promising fields of application and create new solutions.

Ready for leadership and expert roles?

Professionals in the field of data science are highly sought-after by employers across all industries and types of companies.

Our graduates work in the following fields:

  • Data Analyst
  • Data Scientist
  • Data Engineer
  • Machine Learning Engineer
  • Software Engineer with focus on Machine Learning
  • Software Engineer with focus on Machine Learning

Graduation Theses

Graduation Theses: MSc in Engineering

The “Books” are published every year in autumn. The publications series include the final theses of our bachelor, master and continuing education programmes of the respective year. The Books are a compelling testament to the innovative capacity, commitment and motivation of our graduates.

Duration + content

Choose the mode of study that suits you best professionally and personally. The master’s programme can be completed full-time or part-time and in German/English or French/English.

Full-time or part-time?

The full-time programme takes three semesters.
The part-time programme can be completed in seven semesters.

It is possible to complete a fellowship study programme:
With the Fellowship Master, you acquire 60 ECTS credits in the first year as with full-time study; in the second year of the course, you work on a master’s thesis extended to two semesters. This form of study is a full-time study programme extended by one semester.
For the Fellowship Programme, you will be employed at the BFH as a research assistant.
To be admitted to the Fellowship Programme a Fellowship position must be vacant and you must be be admitted to the MSE.

Industry Fellowship programme

For this, you or the BFH bring in a company contact who is willing to mentor you as a working student. While studying, you will be employed as a research assistant at the BFH. All the projects you work on are commissioned by the company and have an applied research character.

Research Fellowship programme

If you find a BFH-TI research laboratory that is willing to finance your studies and you have achieved a GPA of at least 75 during your BSc, the BFH-TI will also offer you this type of study. All projects you work on are commissioned by the Institute.

Programme schedule

The MSE is a full-time programme divided into three semesters. In the first third of the course, the focus is on theoretical and scientific aspects, and in the final third, with the master’s thesis, on purely practical implementation. In addition to full-time study, the MSE is also offered part-time, the form chosen by the majority of students.

Studienverlauf MSc Engineering Enlarge image

Download / Curriculum

The foundation courses are provided jointly by the Swiss universities of applied sciences at the central locations in Lausanne, Zurich and Lugano and comprises three groups of theoretical modules:

•    Technical scientific modules TSM
•    Extended fundamental theoretical principles FTP
•    Context modules CM

The module group abbreviations CM, TSM and FTP refer to the English terms and are used throughout Switzerland. Each module comprises 3 ECTS credits. The basic training earns you 30 ECTS credits in total.

You can complete the specialisation at a research unit – usually the BFH institute to which your workplace is assigned. The specialisation course comprises 54 ECTS credits and includes the following components:

•    Project assignment 1: 9 ECTS credits
•    Project assignment 2: 15 ECTS credits
•    Master’s thesis 30 ECTS credits

You will acquire knowledge and experience through challenging projects. With the master’s thesis, you demonstrate the ability to independently complete a comprehensive piece of work that meets high methodological as well as conceptual and/or scientific standards.

You will also learn to present the results verbally and in writing in a clear and professional manner. The practical relevance and currentness of the specialisation projects and the master’s thesis are vital; the projects are geared towards making a significant contribution to a solution.

Supplementary events – courses, seminars and/or colloquia run by BFH and other MSE partner universities – provide the opportunity to acquire in-depth knowledge in areas that cannot be covered in the main theory modules due to the high degree of specialisation. This training course comprises a total of 6 ECTS credits.

Programme modules

The study programme is modular and consists of three types of modules in the basic training plus EVA complementary modules. Below is an initial selection that can be individually adapted based on specialisation.

You must complete at least four modules, i.e. 12 ECTS credits.

Overview of recommended TSM modules:

You must complete at least three modules, i.e. 9 ECTS credits.
FTP modules provide long-term knowledge capital and train abstract thinking skills.

Overview of recommended FTP modules:

You must complete at least two modules, i.e. 6 ECTS credits.
The Context modules build knowledge and skills in the non-technical areas of management, communication and culture.

Overview of recommended Context modules:

You must complete at least two modules, i.e. 6 ECTS credits, as part of supplementary events.

  • SMLDM: Simulation, Machine Learning and BI for Decision Making | MTE7120
  • IoT: Internet of Things | MTE7117
  • ISA: Image Synthesis and Analysis | MTE7901
  • CAVP: Computer Architecture and Virtual Prototyping | MTE7905
  • TIFP: Turning Ideas into Funded Projects | MTE7119
  • Other EVA courses | Complementary modules

Admission requirements

You bring with you a high level of commitment, a good foundation from your bachelor’s degree programme and a keen motivation to learn about innovative and advanced technologies.

Academic requirements

You will be admitted to the degree programme with:

  • a Bachelor of Science degree in Computer Science or a comparable bachelor’s degree.
  • at least 60 points in the Grade Point Average (GPA) of the BFH (C grade or overall grade 5.0)
  • an equivalent Swiss or foreign degree with a good to very good academic standard

Admission based on your academic background and performance (‘sur dossier’) is the rule.

Professional prerequisites

Any one of the following areas of professional experience qualifies you for the Master of Science in Engineering degree programme, Data Science profile, at the Bern University of Applied Sciences:

  • Professional experience as a computer scientist
  • Work experience in a technical field of expertise
  • Professional experience in the field of economic expertise

Detailed admission requirements are set out in the Study and Examination Regulations (SPR) for the MSE degree programme.

Supplementary information on admission

A degree in a different discipline can also qualify you for admission to the master’s degree programme. Depending on your educational background, you may be required to earn 9 to 15 ECTS credits by attending courses in the bachelor’s degree programme.
Enrolment in the bachelor courses is possible only once admission to the MSE programme has been granted. Your advisor can be involved in the selection of the bachelor courses.

Registration

  • After applying as usual for the MSE course, you first send us your certificates and documents (language certificates in the case of foreign languages).
  • We use these documents to verify your admission to the MSE degree programme (average grades, formal requirements as specified by the study regulations, etc.).
  • We determine bilaterally which subjects are required (depending on your chosen MSE specialisation).
  • The documents are presented to the MSE Approval Commission of the BFH. The commission decides on the admission and on the bachelor courses to be attended.
  • The conditions of admission are set out in a contract. You can start the MSE programme provisionally and take the agreed bachelor modules in parallel. Once the additional conditions have been fulfilled, you are admitted definitively to the MSE course.

German and English or French and English (in each case at least Language Level B2 of the Common European Framework of Reference for Languages)

BFH’s MSE Admissions Committee will carry out an aptitude assessment once the application has been accepted. If necessary, a supplementary interview can be arranged.

If your GPA is only slightly below 60, we can still admit you if you meet the post-qualification worked out individually for you, have relevant professional experience, and can clearly explain your motivation for studying.

Application

Secure your place early.
You can always submit any missing documents later.

Application deadlines

Application deadline

31 December (spring semester)
31 July (autumn semester)

Study start

19 February 2024 (spring semester)
16 September 2024 (autumn semester)

Start your studies in spring or in autumn

Brief explanation of online application

You can only apply online. Our Online Application Guide explains how it works, step by step.

Online Application Guide

Application documents

You will need to make PDF or JPG copies of the following documents:

Mandatory requirements:

  • ID or passport
  • Passport photo that meets international passport requirements

Other documents (certificates, etc.)

  • Diplomas and university entrance certificates (e.g. vocational baccalaureate/specialised baccalaureate with grades, baccalaureate, Abitur or equivalent, Bachelor certificate for master’s degree programmes)
  • Swiss federal VET diploma with grades
  • Employer references and/or internship certificates
  • Curriculum vitae
  • Additional documents may be required, depending on your educational background

The costs for the programme comprise application, tuition and examination fees plus the cost of course materials and excursions.

Costs

At BFH, different fees apply for programmes and examinations.

Application (per application)*

CHF 100

Matriculation**

CHF 100

Tuition fees (per semester)

CHF 750

Tuition fees for international students*** (per semester)

CHF 950

Examination fee (per semester)

CHF 80

Fee for social, cultural and sport offerings (per semester)

CHF 24

Membership fee for the Bern University of Applied Sciences Student Association (VSBFH) (per semester)

CHF 15

* plus CHF 10 processing fee if paying by paying-in slip/paper invoice.
** If the application leads to matriculation, the matriculation fee is covered by the application fee.
*** International students are defined as persons of foreign citizenship who at the time of obtaining their university entrance qualification were domiciled under civil law neither in Switzerland nor the Principality of Liechtenstein. This rule applies as of the 2018/19 autumn semester.

Loans and grants can help finance your studies.

Information page on support options

The following foundations offer funding specifically to BFH students and students at universities of applied sciences:

Advice + information

Still have questions about the programme? The head of the degree programme, lecturers and students will be able to answer your questions at one of our information events.

Advice

Choosing a degree programme is an important decision. We will be happy to arrange a face-to-face chat to answer your questions and advise you on the requirements for your chosen programme.

Prof. Andreas Habegger

  • Leiter Master of Science Engineering
  • +41 32 321 67 81
  • Show e-mail

Prof. Dr. Erik Graf

  • Leiter Studiengang Data Engineering
  • +41 32 321 63 26
  • Show e-mail

Administrative Office MSc in Engineering

  • +41 31 848 50 46
  • Show e-mail

Katja Jeanbourquin

  • Sachbearbeiterin
  • +41 32 321 62 37
  • Show e-mail

Information event

Visit one of our information events and find out all about the degree programme, the admission requirements and your career prospects. Our students will share their experiences of university life with you.

Location(s) + facilities

The practical part of your master’s degree (project assignments and master’s thesis) takes place in modern laboratories and a coworking space in Biel.

The Biel site – Höheweg 80

Show address and location

Studying in Biel

Facilities

BFH library
University sport

The MSE master’s degree is a programme run jointly by all Swiss universities of applied sciences. Graduating with the MSE master’s degree means you obtain the highest academic degree available at such a university in Switzerland.

The direction of the degree programme is determined by the profile and structured in detail by the choice of modules and topics with the support of advisors.

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