BSc (Hons) Computer Science and Digitisation

Provider:
Course Code:
CSSD
Qualification Level:
Undergraduate
Course Area:
Information Technology
Duration:
4-Year
Study Mode:
Full Time
Location:
Neukölln, Germany
Course Fee:
USD 39,700 Per Course
Delivery Mode:
On Campus
Target:
International
Intake:
February, October

Course Overview

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.

Course Structure

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

Entry Requirement

Admission Requirements
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
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

Career Opportunities

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

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