Bachelor of Data Science

IUBH University of Applied Sciences - Online Studies
Germany
Qualification
Bachelor's Degree
Study mode
Full-time, Online
Duration
36 months
Intakes
January February March April May June July August September October November December
Total tuition fee (local)
RM 65,592
Total tuition fee (foreign)
Contact the university / college

About this course

Data Scientist has been famously described as the job with the highest potential of the 21st century. Why? On the one hand side, the field offers a diverse mix of capabilities, skills and corresponding opportunities for specialisation that never gets boring. On the other hand, data science, i.e. the generation of insights and value from raw data is the fulcrum of truly digital businesses across all sectors. Here, data informs not only the optimization of existing processes. Even more importantly, it is the key enabler of entirely new business models.

Our international bachelor programme is an ideal opportunity to acquire the relevant skill-set, getting a headstart on your competition. Our graduates are going to take implementing roles in the current data revolution.

Entry Requirements

  • Higher Secondary School Leaving Certificate with scores in the top 30% of your academic year.
  • Proof of English skills 
    • TOEFL (min. 80 points) or
    • IELTS (min. Level 6) or
    • Duolingo English test (min. 105 points) or
    • Cambridge Certificate (min. B grade overall) or
    • Equivalent proof

The proof must be provided before the start of the study and must not be older than two years. If English is your native language or you graduated from an English-speaking school/university, you do not have to prove your English skills.

Curriculum

Course Overview

1 Semester

  • Introduction to Data Science
  • Intorduction to Academic Work
  • Introduction to Programming with Python
  • Mathematics Fundamentals - Calculus
  • Collaborative Work
  • Statistics - Probability and Descriptive Statistics

2 Semester

  • Object oriented and functional programming with Python
  • Mathematics Fundamentals - Linear Algebra
  • Intercultural Decision-Making
  • Statistics - Inferential Statistics
  • Data Modeling and Database Systems
  • Project: Build a datamart in SQL

3 Semester

 

  • Business Intelligence
  • Project: Business Intelligence
  • Machine Learning - Supervised Learning
  • Machine Learning - Unsupervised Learning and Feature Engineering
  • Data Science Software Engineering
  • Project: From Model to Production

4 Semester

 

  • Agile Project Management
  • Data Quality and Data Wrangling
  • Explorative Data Analysis and Visualisation
  • Big Data Technologies
  • Cloud Computing
  • Seminar: Ethical Considerations in Data Science

5 Semester

  • Time Series Analysis
  • Neural Nets and Deep Learning
  • Electives A (Selection of one module) 
  • Electives B (Selection of one module) 

6 Semester

 

  • Electives C (Selection of one module) 
  • Introduction to Data Protection and IT Security
  • Model Engineering
  • Bachelor Thesis & Colloquium

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