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BSc (Hons) Computer Science and Digitisation
BSc (Hons) Computer Science and Digitisation

BSc (Hons) Computer Science and Digitisation

  • ID:BSBI0001
  • Level:4-Year Double Degree
  • Duration:
  • Intake:
  • Type:Full-time

Fees (EUR)

  • TuitionFee/Year:€9,925.00
  • LivingFee/Year:€11,208.00
  • InsuranceFee/Year:€1,500.00
  • TuitionFee/Year:€9,925.00
  • LivingFee/Year:€11,208.00
  • InsuranceFee/Year:€1,500.00

* Dissertation Fee

Estimated Total/program:
€90,532.00
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Accept letter
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Visa
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Admission Requirements

Entry Requirements
  • Minium age: 18 
  • Certified copy of high school diploma and transcripts; or equivalent.
  • Submit an online portfolio via
English Requirements

Proof of English level:

  • TOEFL score 80 (Listening: 17, Reading 18, Speaking 20, Writing 17
  • IELTS 6.0 (no less than 5.5 in any component)
  • Duolingo overall score of 105 and above
  • CAE B2 with a minimum score of 169 (min 162 in each component)
  • PTE 56 (with min 51 in each component)
  • English native or equivalent.

Course Information

Students will develop the core skills required to further their academic and theoretical knowledge in IT. The curriculum emphasises computer science which is supported by professional tools, advanced simulation techniques literacy and the application of a variety of tasks to solve problems and make informed decisions and design solutions in the domain of IT.

Located in Berlin, the capital of Germany, BSBI is the perfect location to deepen your knowledge and understanding of the computer science domain. Our compulsory professional labs, workshops and local as well as global networks allows you to become the adaptable, resilient, globally minded, confident, entrepreneurial, and service savvy professional so in demand in the contemporary workplace

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Pre Courses

YEAR 1

  • Fundamentals of Computer Science
  • Mathematics for Computer Science
  • International Business Administration
  • Computer Science-Algorithms and Problem Solving using Python
  • Statistics for Data Analysis
  • Database Design and Implementation

 YEAR 2

  • Machine Learning and Visualisation
  • Predictive Analysis-Classifications, Regression, Clustering
  • Digital Economy and Transformation
  • Computer Science for Digital Engineering (with C++; CAD)
  • Modelling and Planning
  • Operations Planning and Project Management

 YEAR 3

  • Simulation Techniques
  • Advanced Simulation Techniques
  • You will have the opportunity to follow one of 4 innovative pathways.
  • Dissertation

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Pathway Courses

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Career Opportunity

Career Opportunity

The curriculum has been designed with contemporary and practical elements. The latest technology is used to enhance learning and collaborative work. Students will work alongside research-active staff on the latest research developments, while industry guest speakers and live briefs provide networking and development opportunities. This is embedded throughout the course to enrich the creative and digitisation practice and significantly contribute to the experience at university and preparation for professional practice.

Employability is a core ethos of the course and is evidenced in the course overall philosophical aims, approach to teaching and learning, as well as underpinned by co-curriculum activities, where you will gain transferable skills which are adding values to your future employability and enterprising ventures.

Ability to settle

Overseas Student Health Cover

Health and accident insurance: EUR 1500

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