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Students
Tuition Fee
EUR 415
Start Date
Medium of studying
Fully Online
Duration
Program Facts
Program Details
Degree
Masters
Major
Artificial Intelligence | Data Science | Software Development
Area of study
Information and Communication Technologies
Education type
Fully Online
Timing
Part time
Course Language
English
Tuition Fee
Average International Tuition Fee
EUR 415
About Program

Program Overview


This Master's program in Applied Artificial Intelligence in Production equips students with the expertise to manage data-driven solutions in the manufacturing industry. The program emphasizes AI concepts, big data analysis, and innovative data processing methods, enabling graduates to become decision-makers sought after by manufacturing industries.

Program Outline


Master's in Applied Artificial Intelligence in Production: Detailed Program Breakdown


Degree Overview:

This program aims to equip students with the expertise needed to manage data-driven solutions in the manufacturing industry, specifically focusing on production 4.0. It provides a comprehensive understanding of AI's role in production processes, enabling graduates to become decision-makers sought after by manufacturing industries.


Outline:


Program Structure:

  • Online Campus Study Model: Master of Science (M.Sc.)
  • ECTS Credits: 60
  • Language: English
  • Accreditation: Accredited in line with German and European standards
  • Recognition: Internationally recognized and transferable to other countries
  • Study Duration: 12-24 months (depending on time model)
  • Study Start: Anytime
  • Flexibility: 100% flexible, students decide where and when they study
  • Learning: Modernised learning with access to a unique learning app and AI tutor

Semester 1:

  • Machine Learning: 5 ECTS credits
  • Deep Learning: 5 ECTS credits
  • Reinforcement Learning: 5 ECTS credits
  • Inference and Causality: 5 ECTS credits
  • Seminar: Current Topics in AI: 5 ECTS credits
  • AI in Production: 5 ECTS credits

Semester 2:

  • Project: Industrial Internet of Things: 5 ECTS credits
  • Industrial Automation: 5 ECTS credits
  • Computer Vision for Autonomous Systems: 5 ECTS credits
  • Master Thesis: 15 ECTS credits

Course Schedule:

  • The program offers a flexible online course schedule.
  • Students have access to human and AI-powered tutoring.
  • Syntea, IU's AI-powered tutor, is available 24/7 for guidance and exam preparation.

Assessment:


Assessment Methods:

  • The program utilizes a variety of assessment methods, including:
  • End-of-module exams
  • Projects

Teaching:


Teaching Methods:

  • The program utilizes a blended learning approach, combining:
  • Online learning materials
  • Live teaching sessions
  • Individual study coaching
  • AI-powered tutoring

Faculty:


Careers:


Potential Career Paths:

  • (Senior) Smart Factory Systems Developer: Consulting, technology strategy, and transformation, implementing digital initiatives, working on IoT and Smart Manufacturing concepts, leading enterprise architecture consulting.
  • AI in Production Researcher: Developing new science in AI, particularly in areas like natural language processing, deep learning, and reinforcement learning, applying research findings to production-ready challenges.
  • (Senior) AI in Production Consultant: Designing analytics strategies, testing the value of data science and visual analytics solutions, supporting implementation, acting as a point of contact for analytics at all levels.

Opportunities:

  • Graduates can pursue a wide range of employment opportunities in industries that handle large amounts of data and aim to manage digitalization in their production processes.
  • Potential roles include development, production planning, quality management, and research.

Outcomes:

  • Graduates will be equipped with the skills and knowledge to contribute to the development and implementation of AI-driven solutions in manufacturing.
  • They will be able to analyze and manage large datasets, optimize production processes, and drive innovation in the industry.

Other:

  • The program emphasizes the importance of digitalization in industrial enterprises and the opportunities it presents.
  • The program provides a strong foundation in AI concepts and their application in production processes.

The tuition fee starts from €415 (US$ 449) per month.

  • Single or multiple exams taken within an exam slot lasting up to max.
  • 120 minutes: 120 euros is payable for single or multiple exams taken within an exam slot lasting up to max. 120 minutes.
  • For exams lasting more than 120 minutes up to 360 minutes, 170 euros is payable to the respective institute per exam slot.
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About University

IU Internationale Hochschule


Overview:

IU Internationale Hochschule is an online university offering accredited Bachelor's, Master's, and MBA degrees. It boasts a large student body of over 100,000 individuals and has a high recommendation rate of 96% from its students.


Services Offered:

IU provides a comprehensive range of services to its students, including:

    Flexible study options:

    Students can choose to study online or on campus in Germany.

    AI-enhanced learning:

    Students benefit from AI-powered tutors to accelerate their learning.

    State-approved and accredited education:

    IU offers top-level education programs recognized by various international bodies.

    Global network:

    Students can connect with peers from over 140 countries.

    Career support:

    IU offers career offices and resources to help students find jobs after graduation.

    Study abroad opportunities:

    Students can study abroad at partner institutions like UCLA Extension and BCIT.

    High school diploma program:

    Students can earn a high school diploma and a Bachelor's degree simultaneously.

    Free webinars:

    IU hosts regular webinars to provide information about its programs and application process.

    Personal counseling:

    Students can access personalized support from study advisors.

Student Life and Campus Experience:


Key Reasons to Study There:

    Flexibility:

    IU offers flexible study options, allowing students to learn at their own pace and from anywhere in the world.

    Global network:

    Studying at IU provides opportunities to connect with students from diverse backgrounds and cultures.

    AI-powered learning:

    IU's AI-enhanced learning platform helps students learn faster and more effectively.

    Career-focused education:

    IU's programs are designed to equip students with the skills and knowledge needed for successful careers.

    International recognition:

    IU's degrees are recognized by various international bodies, opening doors to global career opportunities.

Academic Programs:

IU offers a wide range of academic programs across various disciplines, including:

    Bachelor's degrees:

    Data & IT, Business & Management, Health & Social Care, Psychology

    Master's degrees:

    Data & IT, Business & Management, Marketing & Communication, Health & Social Care, Psychology

    MBA degrees:

    General MBAs, Specialized MBAs in areas like Artificial Intelligence, Big Data Management, Finance & Accounting, Healthcare Management, and more.

Other:

  • IU has established partnerships with leading global companies, offering students internship and project opportunities.
  • IU's advisory board includes prominent figures like Jimmy Wales (Wikipedia) and Raffaela Rein (Career Foundry).
  • IU is recognized by WES Canada and U.S., allowing graduates to work or study in these countries.
  • IU is a member of UNESCO's Global Education Coalition, committed to providing accessible quality education to students in crisis.

Total programs
29
Admission Requirements

Entry Requirements:

  • Completed undergraduate degree: Applicants must have a completed undergraduate degree with at least 240 ECTS credits with a focus on economics, natural sciences, or technology.
  • Institution: The degree must be from a state or state-recognized higher education institution/university.
  • Final Grade: Applicants must have achieved a final grade of at least “satisfactory” or Grade C equivalent in their previous undergraduate degree.
  • Work Experience: Proof of at least one year of professional work experience acquired after completing their undergraduate studies prior to beginning the study program.
  • Specialist Knowledge: Previous knowledge in the areas of "Advanced Mathematics", "Advanced Statistics", and "Programming with Python" is required.
  • The university will provide free supportive learning materials if needed.

Language Proficiency Requirements:

  • English Proficiency: Depending on personal circumstances, applicants might be required to provide proof of their English language proficiency.
  • The required level is B2 of the Common European Framework (CEF).
  • Accepted Certificates: TOEFL (minimum 80 points), IELTS (minimum Level 6), Duolingo English Test (minimum 95 points), PTE Academics (minimum 59 points), Cambridge Certificate (minimum Grade B).
  • Exemption: No proof of English proficiency is required if English is the applicant's native language or if they have graduated from an English-speaking school or university.
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