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

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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.

IU University         LSBU 

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

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IU University

Globally recognized with 75,000 students enrolled

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Country - Germany

INR 55 Lakhs - Average salary in Germany after completion of the course

course name | 3

Master of Science (M.Sc.) - Dual Degree

Master Data Science

mode of teaching 1 | 4

Mode of Teaching

Year 1 - Online
Year 2 - On-Campus

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Tuition Fees

Year 1 - INR 1.60 Lakhs
Year 2 - 7,788 Euros

cost of living | 6

Cost of Living

~ EUR 6,000 Per annum

Dual Degree Certificate

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This is a sample certificate for display purpose

lsbu degree

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.

Program Faculty

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:

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.

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Financing as low as

₹ 7,500/month

Other Financing Options

We provide the following options for a one-time payment

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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

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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 assistance numbers
career mentoring
Career Counselling​

Identify and understand the areas to work to achieve happiness and success

resume writing
Profile Building

Make a difference between a good resume and a great one.

job opportunity
Interview Preparation

Master the art of giving interviews and cracking them with ease

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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 [email protected] or 7624-825-205

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