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Students
Tuition Fee
EUR 13,125
Per year
Start Date
2024-07-01
Medium of studying
On campus
Duration
36 months
Program Facts
Program Details
Degree
Bachelors
Major
Fine Arts | Business Administration | International Business | Marketing | Marketing Management | Project Management | Artificial Intelligence | Data Analysis | Robotics | Aerospace Engineering | Biomedical Engineering | Telecommunications | Philosophy | Criminal Law | Creative Writing | Statistics
Discipline
Arts | Business & Management | Computer Science & IT | Engineering | Humanities | Law & Legal Studies | Media & Communication | Science
Minor
Business Intelligence and Analytics | Innovation Management | Data Science | Information Systems Security | Artificial Intelligence and Robotics | Machine Learning | Digital Marketing | Communications Technology | Data Modeling/Warehousing and Database Administration | Professional Writing | Military Technologies and Applied Sciences | Fine Arts and Visual Studies | Ethical Philosophy and Moral Studies | Security and Loss Prevention Services | Gene/Genetic Therapy | Business Administration and Management | Market Research
Education type
On campus | Blended
Timing
Full time
Course Language
English
Tuition Fee
Average International Tuition Fee
EUR 13,125
Intakes
Program start dateApplication deadline
2023-10-01-
2024-01-01-
2024-04-01-
2024-07-01-
2024-10-01-
About Program

Program Overview


This program combines data science, AI, and digital business competencies to prepare students for careers in technology, start-ups, or data-driven roles in various industries. It offers a comprehensive curriculum covering Python programming, data structures, AI, machine learning, and business fundamentals. Students gain practical experience through internships and projects, and the program is taught by industry experts in Potsdam, Germany.

Program Outline


Outline:


Data Science and AI

  • Python Programming: This course will introduce you to the fundamentals of Python, a powerful programming language widely used in data science and AI.
  • You will learn about data types, variables, control flow statements, functions, modules, and more.
  • Data Structures & Algorithms: This course will delve into the essential data structures and algorithms used in data science and AI.
  • You will learn about arrays, linked lists, stacks, queues, trees, graphs, sorting algorithms, and search algorithms. You will learn about association rule mining, clustering, classification, and regression techniques.
  • Artificial Intelligence & Machine Learning: This course will introduce you to the core concepts and techniques of artificial intelligence and machine learning.
  • You will learn about supervised learning, unsupervised learning, deep learning, and natural language processing.
  • Applied Statistical Modelling: This course will teach you how to apply statistical models to real-world problems.
  • You will learn about regression analysis, hypothesis testing, and statistical inference.
  • Data Visualisation: This course will equip you with the skills to create effective data visualizations using tools like Tableau and Power BI.
  • Data Driven Strategic Decision Making: This course will demonstrate how data can be used to make informed strategic decisions in business and other domains.
  • Data Governance, Security and Ethics: This course will discuss the ethical and legal implications of data collection, storage, and analysis.
  • AI Studio: This practical course will provide you with hands-on experience in applying AI techniques to real-world problems.
  • You will use AI tools and libraries to build and deploy AI models.

General Business Competencies

  • Digital Transformation and Cases: This course will examine the impact of digital transformation on businesses and explore real-world case studies of successful digital transformation initiatives.
  • Fundamentals of Marketing: This course will provide you with a comprehensive understanding of marketing principles and concepts, including customer behavior, market research, segmentation, targeting, and positioning.
  • Sustainability Management: This course will discuss the principles of sustainability and how businesses can integrate sustainability into their operations and strategies.
  • Project Management: This course will teach you the essential skills and tools for managing projects effectively, including planning, scheduling, budgeting, and risk management.
  • Innovation Management in a Digital and Globalised World: This course will explore the role of innovation in driving business success in the digital age and how to manage innovation effectively in a globalized world.
  • Digital Marketing and Analytics: This course will teach you how to use digital marketing channels and analytics tools to reach your target audience and achieve your marketing goals.

Action and intercultural competencies

  • Creative Problem Solving and Strategy Development: This course will equip you with the skills to solve complex problems creatively and develop effective strategies for achieving your goals.
  • End-to-End Data Science Project: This capstone project will allow you to apply your data science skills to a real-world problem and develop an end-to-end data science solution.
  • Business Start-up Simulation: This interactive simulation will give you hands-on experience in starting and running your own business.
  • Internship: This optional internship will provide you with the opportunity to gain practical experience in a real-world business setting.

Study Abroad Option

  • Fundamentals of Research: This course will introduce you to the fundamentals of academic research, including research design, data collection, and analysis.
  • Foreign Language: This course will help you develop proficiency in a foreign language, which is essential for working in a globalized world.

Scientific and Methods Competencies

  • Mathematical Foundations: This course will review the mathematical foundations needed for data science and AI, including linear algebra, calculus, and probability theory.
  • Statistics: This course will provide you with a strong foundation in statistical methods, including hypothesis testing, regression analysis, and time series analysis.
  • Academic Writing and Research Methods: This course will teach you how to write effective academic papers and conduct thorough research.

Careers:

Alternatively, you would be perfectly equipped to contribute to the innovative start-up culture in Berlin, either by driving growth in an up-and-coming enterprise or by founding your own company. As you will have acquired valuable digital business competencies, you’ll also have the option to venture into a different field of business, such as marketing or project management, and work in a data-driven role. If you are interested in learning more about general business, you might consider studying our Global MBA or MSc International Business Management.


Other:

  • The program is offered in English.
  • The program is designed for students with a strong interest in data science, AI, and digital business.
  • The program is taught by experienced and industry-respected professionals.
  • The program provides students with the opportunity to gain practical experience through internships and projects.
  • The program is located in Potsdam, Germany, a vibrant city with a rich history and a thriving technology industry.

Standard Tuition Fees Germany/EU applicants From € 9,600 per year International applicants from € 13,125 per year Flexible payment plan Gisma offers flexible payment plans that allow you to spread the costs of your programme fees in up to six instalments. A refundable deposit of €3,000 is required to secure your place, and the remainder of the tuition fee is to be paid after the start of programme in accordance with your payment schedule. Payments are accepted by bank transfer, or via one of our payment partners – Transfermate and Stripe.

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