Master Data Science draft

Program Overview

The IU International University of Applied Sciences offers an online Master's in Data Science program designed to equip students with the skills and knowledge needed to succeed in the field. The program focuses on current advancements in software, infrastructure engineering, and Big Data technology, enabling students to develop robust problem-solving skills. Graduates are well-prepared for various data-driven roles, including Senior Data Scientist and Data Science Consultant. The program features a blended learning approach with online self-study, live tutorials, and interactive learning experiences.

Program Outline

Degree Overview:

The online Master's in Data Science program at IU International University of Applied Sciences is designed to equip students with the skills and knowledge necessary to thrive in the rapidly evolving field of data science. The program focuses on current advancements in software, infrastructure engineering, and Big Data technology, enabling students to develop robust problem-solving skills and a methodical approach to data science challenges. The program aims to prepare students for a successful career in various sectors, including computer engineering, business analytics, deep learning, data analytics, predictive modeling, and cloud computing.

Outline:

The Master's in Data Science program is offered in two study models: 60 ECTS credits and 120 ECTS credits.

60 ECTS Credits:

• Semester 1:
• Advanced Statistics (5 ECTS credits)
• Use Case and Evaluation (5 ECTS credits)
• Seminar: Current Topics in Data Science (5 ECTS credits)
• Machine Learning (5 ECTS credits)
• Deep Learning (5 ECTS credits)
• Case Study: Model Engineering (5 ECTS credits)
• Semester 2:
• Electives (10 ECTS credits)
• Master Thesis (30 ECTS credits)

Electives:

• Big Data and Software Engineering (10 ECTS credits)
• Smart Manufacturing Methods and Industrial Automation (10 ECTS credits)
• Applied Autonomous Driving (10 ECTS credits)
• AI and Mastering AI Prompting (10 ECTS credits)

120 ECTS Credits:

• Semester 1:
• Data Science (5 ECTS credits)
• Advanced Mathematics (5 ECTS credits)
• Seminar: Data Science and Society (5 ECTS credits)
• Advanced Statistics (5 ECTS credits)
• Use Case and Evaluation (5 ECTS credits)
• Project: Data Science Use Case (5 ECTS credits)
• Semester 2:
• Programming with Python (5 ECTS credits)
• Machine Learning (5 ECTS credits)
• Deep Learning (5 ECTS credits)
• Big Data Technologies (5 ECTS credits)
• Electives A (10 ECTS credits)
• Semester 3:
• Cyber Security and Data Protection (5 ECTS credits)
• Case Study: Model Engineering (5 ECTS credits)
• Software Engineering for Data Intensive Sciences (5 ECTS credits)
• Electives B (10 ECTS credits)
• Seminar: Current Topics in Data Science (5 ECTS credits)
• Semester 4:
• Master Thesis (30 ECTS credits)

Electives:

• Elective A:
• Data Science Specialist (10 ECTS credits)
• Technical Project Lead (10 ECTS credits)
• Data Engineer (10 ECTS credits)
• Business Analyst (10 ECTS credits)
• Elective B:
• Management (10 ECTS credits)
• Sales, Pricing and Brand Management (10 ECTS credits)
• Consumer Behaviour and Research (10 ECTS credits)
• Corporate Finance (10 ECTS credits)
• Innovative and Change (10 ECTS credits)
• Cognitive Computing (10 ECTS credits)
• Applied Autonomous Driving (10 ECTS credits)
• Self Learning Systems (10 ECTS credits)
• Industrial Automation and Internet of Things (10 ECTS credits)
• AI and Mastering AI Prompting (10 ECTS credits)

Assessment:

The program utilizes a variety of assessment methods, including:

• End-of-module exams
• Projects
• Case studies
• Master thesis

Teaching:

The program employs a blended learning approach, combining online self-study with live tutorials and interactive learning experiences. Students have access to:

• Digital study materials
• Tutorial videos
• Live teaching sessions
• Individual study coaching
• Online exams
• Career coaching
• AI-powered tutoring (Syntea)

Careers:

Graduates of the Master's in Data Science program are well-prepared for a variety of data-driven roles, including:

• Senior Data Scientist
• Data Science Consultant
• Data Science Developer

Other:

• The program includes an AI prompt engineering course, teaching students how to effectively use tools like ChatGPT in their daily lives, work, and studies.
• Students have access to a large online library and career services.
• IU offers a 4-week money-back guarantee for all online programs.
• The program is accredited by the German Accreditation Council and recognized internationally.
• IU provides an official Europass Diploma Supplement to ensure degree recognition across the EU.
• Students can choose from a variety of study models, including full-time and part-time options.
• The program is taught entirely in English.
• IU offers a Fee Reduction Programme for eligible students.
• Students can get their previous achievements recognized for potential credit transfer.
• IU has a strong reputation for its practice-oriented approach to education, preparing graduates for successful careers.
• IU offers a variety of other master's programs in related fields, such as DevOps and Cloud Computing, Business & IT, and Applied Artificial Intelligence.

Tuition Fees € 299 (US$ 324) per month No application fees