Study location	Germany, Berlin
Type	Master, full-time
Nominal duration	3 semesters (90 ECTS)
Study language	English
Awards	MSc
Course code	MCS_bdai_90_V_BE_0_e

Tuition fee	€6,800 per semester
Application fee	€1,000 one-time

Entry qualification	Undergraduate degree (Bachelor's degree or higher) The entry qualification documents are accepted in the following languages: English / German. ⠀ Upload your electronic copies during the application process

Language requirements

English Please find our English language requirements here: • Duolingo Certificate 110 points • TOEFL 87 ibt (direct entry) • TOEFL 79 – 86 ibt (with additional agreement) • TOEIC 785 (Listening/Reading 785, Speaking 160, Writing 150) • IELTS (academic) 6.5 average – please see Language Centre guidelines if results differ • CAE (grade A, B, or C) • CPE (grade A, B or C) • Pearson English Test Academic (PTE-A) 59 points • Linguaskill: 176 – 184 (CES) – all four skills required

Other requirements	Motivation letter, CV, Secondary School Certificate, Bachelor’s Certificate (min. 3.5-year degree = 210 ECTS) and full transcript (degree in Computer Science, Information Systems or a similar area of studies) Proof of English skills, Copy of Passport/ID

Overview

This Master’s programme provides a computer science education that includes classic modules such as software development and programming yet teaches specialised knowledge regarding Big Data and Artificial Intelligence.

You will get to know the latest big data technologies and learn how to implement AI and machine learning tools in the business environment. In addition to technological expertise you get to deepen your analytical, business and soft skills in various projects and internships.

3 Semester / 1.5-year option (Fast Track), if you completed your previous bachelor’s degree with an equivalent of at least 210 European credit points (ECTS) or if you have at least a 3.5-year Bachelor’s degree (subject to assessment by our admissions team)

Programme structure

1. SEMESTER 30 ECTS

• Advanced Data Technologies
• Tools & Methods of Data Analysis
• Software Development
• Big Data Technologies
• Advanced Programming
• Advanced Mathematics

2. SEMESTER 30 ECTS

• Cloud Solutions
• Artificial Intelligence and Open Source Intelligence
• Agile Project & Risk Management
• Machine Learning
• Artificial Intelligence Use Cases
• Open-Source Intelligence Project

3. SEMESTER 30 ECTS

• Scientific Work
• Artificial Intelligence Project
• Master’s Thesis and Defence

Career opportunities

• Positions in business analytics
• Management positions in marketing and strategic management
• IT manager
• IT consultant