Master IN
Data Science
Kick start your Master’s journey with Globally Recognized dual degree from the International University of Applied Sciences, Germany & London Southbank University, England. Receive Master Degree from IU with both a German degree and a British degree.
Batch Starts on 30th Dec 2021 Batch Starts on 30th Dec 2021 Batch Starts on 30th Dec 2021
20 Lakhs
Cost savings compared to regular degree course in Germany
1 Year Online
1 year on-campus in Germany
~ 94%
IU Graduate receive confirmed job offers within 6 months of graduation
PSW Visa
Eligible to apply for 18 months PSW Visa
55 Lakhs
Average salary in Germany after completion of the course
Dual Degree Program
Accelerate your career growth with Master of Business Administration offered by IU International University of Applied Sciences (Germany) and London South Bank University (UK). You will graduate from IU with both a German degree and a British degree: a major advantage for international career prospects! No extra study courses or traveling are required.
Program Structure and Fees
The business world is highly dependent on analysing, evaluating, and optimising performance to stay competitive—and data scientists enable this. With a Master’s in Data Science, that could be you.
Master in Data Science is a 2 years course where in the first year you will be studying online with the IU university platform. Tuition fees for year 1 of course is INR 1.60 Lakhs (inclusive of taxes). For the 2nd year, you will be going to Germany and studying on-campus in IU Germany. Tuition fees for IU Germany is approximately 7,788 Euros.
Key Features
IU University
Globally recognized with 75,000 students enrolled
Country - Germany
INR 55 Lakhs - Average salary in Germany after completion of the course
Master of Science (M.Sc.) - Dual Degree
Master Data Science
Mode of Teaching
Year 1 - Online
Year 2 - On-Campus
Tuition Fees
Year 1 - INR 1.60 Lakhs
Year 2 - 7,788 Euros
Cost of Living
~ EUR 6,000 Per annum
Dual Degree Certificate
This is a sample certificate for display purpose
- Shine with International credentials
- Recognized by top 100+ hiring firms
- Gain industry relevant skills & advance your career
- Scale up at work with a promotion
- Online library as well as podcasts and videos
- High Quality Study materials
- Access to partner network
- Free extension of study period
- Support and career services
- Correction and assessment of module exams
- Online forums
This is a sample certificate for display purpose
curriculum
Best-in-class content by leading faculty and industry leaders in the form of videos, cases and projects, assignments and live sessions
Semester 1
- Introduction to neural networks and deep earning
- Network architectures
- Neural network training
- Alternative training methods
- Further network architectures
- Introduction to statistics
- Important probability distributions and their applications
- Bayesian statistics
- Descriptive statistics
- Data visualization
- Parameter estimation
- Hypothesis tests
- Use case evaluation
- Model-centric evaluation
- Business-centric evaluation
- Monitoring
- Avoiding common fallacies
- Change management
In this module, students will reflect on current developments in data science. To this end, pertinent topics will be introduced via articles, that are then critically evaluated by the students in the form of a written essay.
- Calculus
- Integral transformations
- Vector algebra
- Vector calculus
- Matrices and vector spaces
- Information theory
- Data Science methodologies
- Data quality
- Feature engineering
- Feature selection
- Building a predictive model
- Avoiding common fallacies
Semester 3
- Data protection and privacy
- Cyber security building blocks
- Cyber security management
- Cryptography concepts
- Cryptography applications
- Data Science methodologies
- Data quality
- Feature engineering
- Feature selection
- Building a predictive model
- Avoiding common fallacies
- Agile project management
- DevOps
- Software development
API - From model to production
- Supervised, unsupervised, and reinforcement learning approaches
- Regression and classification learning problems
- Estimation of functional dependencies via regression techniques
- Data clustering
- Support vector machines, large margin classification
- Decision tree learning
Semester 2
- Introduction to neural networks and deep earning
- Network architectures
- Neural network training
- Alternative training methods
- Further network architectures
- Introduction to the Python programming language
- Object-oriented concepts in Python
- Handling of exceptions and errors
- The Python library ecosystem
- Environments and package management
- Documentation and testing
- Version control
- Data types and data sources
- Databases
- Modern storage frameworks
- Data formats
- Distributed computing
- Supervised, unsupervised, and reinforcement learning approaches
- Regression and classification learning problems
- Estimation of functional dependencies via regression techniques
- Data clustering
- Support vector machines, large margin classification
- Decision tree learning
In this module, students will reflect on current developments in data science. To this end, pertinent topics will be introduced via articles, that are then critically evaluated by the students in the form of a written essay.
Semester 4
Electives
For the 120-ECTS programme, you’ll choose two elective modules, equaling 20 ECTS credits of your overall degree.
Admission Details
Application Process
The application process consists of four simple steps. An offer of admission will be made to the selected candidates and accepted by the candidates by paying the admission fee.
Submit Application
Application Review
Telephonic Discussion
Admission Completed
Eligible Candidates
For admission to this Master’s program, candidates should have:
Academic Criteria
Completed degree from an officially recognized university with at least 50% or Grade C
Work Experience
At least one-year qualified work experience post completion of your undergraduate studies
English Skills
If you graduate from an English- speaking school, you don’t need to prove your English skills. Else test is required
Field Specific
Knowledge of Statistics - Probability and Descriptive Statistics and Computer Science basics. You can take these courses online with us for free
Admission Counselors
We have a team of dedicated admissions counselors who are available to guide you as you apply to the program. They are available to:
- Address questions related to your application
- Provide guidance regarding financial aid (if required)
- Help answer questions and understand the program
Talk to our admissions counselors now!
Admission Fee & Financing
The tuition fee for the 1st year is ₹ 1,60,000 (All-Inclusive)
Year 2 (On-Campus) – 7,788 Euros
Financing options
We are dedicated to making our programs accessible. We are committed to helping you find a way to budget for this program and offer a variety of financing options to make it more economical.
No Cost EMI
We have partnered with the following financing companies to provide competitive finance options at a 0% interest rate with no hidden costs.
Financing as low as
₹ 7,500/month
Other Financing Options
We provide the following options for a one-time payment
Total tuition Fees for 1st Year
₹ 1,60,000
All-Inclusive
LSBU Degree
Achieve extra LSBU MBA degree worth ₹ 1.3 Lakhs FREE of cost
English language
No English language proficiency test required
Financing Options
Get loan at 0% interest rate , EMI’s as low as ₹7,500 per month
Advantage
Job Assistance
Gain extra edge from world class practical job assistance program
Free Extension
Get Free extension if you are unable to complete for any reason
Extra Content
Free access to Leader Sessions, additional live classes + curated content
Step-by-Step Placement Support
Career Counselling
Identify and understand the areas to work to achieve happiness and success
Profile Building
Make a difference between a good resume and a great one.
Interview Preparation
Master the art of giving interviews and cracking them with ease
Ace your career
Get exclusive Access to Job opportunities aligning with your role, skills, experience, and interest
What our Student Say
Still have queries? Contact Us
Please fill in the form and a Program Advisor will reach out to you. You can also reach out to us at info@gururo.com or 7624-825-205
