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B.Sc. Data Science 

B.Sc. Data Science
 at 
IU International University of Applied Sciences 
Overview

As a data expert, you are responsible for the security and stability of the entire system as well as compliance with data protection and data security

Duration

36 months

Total fee

6.20 Lakh

Mode of learning

Online

Course Level

UG Degree

Future job roles

Data Engineer , Data Analyst, Data Scientist

B.Sc. Data Science
 at 
IU International University of Applied Sciences 
Highlights

  • Earn an online degree from IU International University
  • Fee payment can be done in monthly instalments
  • Learn from learning tools, digital study material, tutorial videos, and live teaching sessions
  • Get a scholarship of up to 67%
  • Top-Level Education with numerous external accreditations and certifications
  • Full support from our study advisors
  • Comes up with money back guarantee during 1st month
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B.Sc. Data Science
 at 
IU International University of Applied Sciences 
Course details

What are the course deliverables?
  • Python Programming
  • Predictive Modelling
  • Data Visualisation and Analysis
  • Machine Learning and Software Engineering
  • Portfolio Development
More about this course
  • The Bachelor in Data Science online degree covers all of the relevant fields of knowledge, such as Python programming, predictive modeling, data visualization, data analytics, cloud computing, machine learning, and software engineering, perfectly aligning them to provide you with the most comprehensive education
  • As you work through each of these individual topics, the key focus will be on practical problem-solving skills and real-world applications
  • Rated 5 stars for our online learning, among the best in the world
  • Enhanced research opportunities help IU provide the very best to you
  • The Part-time I format is also available: duration 48 months (INR 14456/month)
  • The Part-time II format is also available: duration 72 months (INR 11086/month)
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B.Sc. Data Science
 at 
IU International University of Applied Sciences 
Curriculum

Semester 1

Introduction to Data Science

Introduction to Academic Work

Introduction to Programming with Python

Mathematics: Analysis

Collaborative Work

Statistics - Probability and Descriptive Statistics

Semester 2

Object-Oriented and Functional Programming with Python

Mathematics: Linear Algebra

Intercultural and Ethical Decision-Making

Statistics - Inferential Statistics

Database Modeling and Database Systems

Project: Build a Data Mart in SQL

Semester 3

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

Semester 4

Agile Project Management

Big Data Technologies

Data Quality and Data Wrangling

Explorative Data Analysis and Visualization

Cloud Computing

Seminar: Ethical Considerations in Data Science

Semester 5

Time Series Analysis

Neural Nets and Deep Learning

Electives A

Electives B

Semester 6

Electives C

Introduction to Data Protection and IT Security

Model Engineering

Bachelor Thesis

B.Sc. Data Science
 at 
IU International University of Applied Sciences 
Entry Requirements

PTEUp Arrow Icon
  • No specific cutoff mentioned
Other eligibility criteriaUp Arrow Icon
Conditional OfferUp Arrow Icon
  • Not mentioned

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IU International University of Applied Sciences
Students Ratings & Reviews

5/5
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Vibe of Campus
  • Easy going
  • Friendly
  • Academically oriented
Student Views
  • 0% students never faced discrimination in this university
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Anonymous
B.Sc. Data Science
Offered by IU International University of Applied Sciences
5
An engaging and well-rounded college experience.
Tips: Before joining this college, students should know that it offers a strong academic curriculum, experienced faculty, and excellent campus facilities. The institution emphasises both theoretical learning and practical application, with opportunities for internships, research, and industry exposure. Student life is vibrant, with numerous clubs, events, and extracurricular activities that encourage personal growth and networking. However, students should also be prepared for a rigorous academic environment that requires dedication and time management. Understanding the campus culture, available support services, and career opportunities can help them make the most of their college experience. Get involved in student organizations or utilise career counseling services can greatly enhance their overall learning journey.
Likes (Permanent Immigration): The campus offers a vibrant, inclusive, and engaging environment that enhances both personal and academic growth. There are numerous student organizations, cultural events, and extracurricular activities that create a strong sense of community and belonging. The university provides excellent facilities, such as modern recreational centers, sports complexes, and student lounges, ensuring a balanced lifestyle. Social events, festivals, and leadership programs allow students to build friendships, network, and develop essential life skills.
Dislikes (Value for money): The faculty demonstrate exceptional expertise, engaging teaching methods, and a strong commitment to student success. The professors are highly qualified, with deep subject knowledge and real-world experience, making learning more relevant and practical. They use innovative teaching techniques, such as case studies, interactive discussions, and technology-driven lessons, to enhance understanding. Moreover, they are approachable, always willing to clarify doubts, and provide valuable academic and career guidance. They not only explained complex theories with real-life examples but also organized industry guest lectures and mentorship sessions, making the learning experience both insightful and impactful.
Reviewed on 16 Mar 2025Read more
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B.Sc. Data Science
 at 
IU International University of Applied Sciences 
Contact Information

Address

IU Bad Honnef
Müllheimer Strasse 38 53604 Bad Honnef

Berlin ( Other - Germany)

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