The course will conclude with a major degree dissertation to prepare you for your professional practice or postgraduate study career.
The Computer Science and Digitisation course is an innovative programme where computer science and the emerging digitisation technologies and challenges are perfectly in balance to form new business leaders in the computer science field. This course aims to provide students with a comprehensive understanding of computer science. You will learn the skills needed to support the products and the services emerging within the global industry of computer science.
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.
Instructed by a mixture of cutting-edge academic staff and experienced industry professionals, you will have the opportunity to learn real-world skills beyond the classroom through visits, networking and placements.
You will study up to four days per week, in smaller class sizes and more frequent sessions. Teaching takes place Monday to Saturdays, during morning, afternoon, or evening sessions.
The modules of this programme are offered and delivered 100% on campus. Students will also have additional access to course and reading materials via the University for the Creative Arts platform.
FOUNDATION YEAR (INTERNATIONAL ROUTE)
Introduction to Creative Business and Management
English for Academic Purposes, Research and Study skills
Marketing, Communication and Branding
Creative Business Project
BSC 1ST YEAR
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
BSC 2ND YEAR
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
BSC 3RD YEAR
Simulation Techniques
Advanced Simulation Techniques
You will have the opportunity to follow one of 4 innovative pathways.
Dissertation
Admission Requirements | |
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Minimum Age to Apply | Minimum age 17 (titles awarded upon completion of at least 11 years of schooling) |
Academic Entry Requirements | Academic Qualifications ECCTIS UK equivalent to GCSE (Year 12). |
Language Requirement | |
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IELTS Score (Minimum) | Students must have a minimum overall score of: 5.0 with min 4.5 in each band. |
TOEFL-IBT Score (Minimum) | Minimum overall score of: 46 |
PTE Score (Minimum) | Minimum overall score of 46 |
Application to the Industry
Use in-depth information to analyze complex problems and suggest creative (sometimes original) solutions appropriate to professional practice in Computer Science
Manage operations, innovations and people management to identify and respond to changing briefs in a range of Computer Science delivery contexts
Evaluate critical arguments and information (that may be incomplete) to frame appropriate questions and make judgments regarding solutions to problems related to Computer Science
Apply a range of methods and techniques to review, consolidate, and extend their knowledge, skills and attitudes to support decision-making within the respective industries