Master in Data Science By EIMT

Developing Industry-Ready Professionals through Rigorous Masters Degree Program

18 Months Online Program.
Specially Designed for Working Professionals.
International Networking Opportunities.
Highly Qualified Industry Experienced Faculties.
Focused & Unique Curriculum.
Discover the latest data analytics and industry trends.
Develop real-life problem-solving abilities

Enquire Now Upcoming Batches

Data Science
Science Landscape
Program Highlights
Why EIMT?
Benefits
Application
FAQ

Master in Data Science

Know about the Program

The program has been designed with the core intent to train professionals to become forerunners in data-driven vocation with well-developed decision-making and prediction experts. The Master in Data Science at EIMT will help students build on their existing qualifications and professionals on their industry experience. The program's core papers will make students establish a solid grounding in data science and develop in-depth comprehension of fundamental aspects of data science including analytical prowess, management, and interpretation of large and complex sets of data and the deriving knowledge from them. This program is an exploration of the possibilities to widen the student's knowledge base of data analytics and computer science and to develop futuristic skills and contemporary tools and techniques that encompass the entire spectrum of data science.

The diverse applicability of data science across industries makes it a significant and dynamic field of study. Graduating with a Master's in Data Science degree will command excellent career opportunities with high salaries in any industry from healthcare to finance to manufacturing. The top value of this degree program is the presence of Capstone Projects that students are to fulfill mandatorily as partial fulfillment of the degree course. This project entails executing the accumulated theoretical skills into practical real-world scenarios where students will leverage their knowledge of applying data science tools and working in teams as well as independently. EIMT takes due cognizance of the need to develop students beyond the areas of technical abilities to succeed and thrive in the competitive industry. We created this all-around learning experience to gain professional skill sets that will boost your confidence in starting a data science career.

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Why Choose EIMT?

Thought-Leadership

Entrepreneurship & ethical leadership are core to our principal teachings.
21st Century Skills

EIMT commits to delivering young minds with the best quality education wrapped in relevance.
Build for success

At EIMT, we are investing in the future of our students by enabling access to a world-class education.
Growth with Global Perspective

Our extensive business network encourages you to design your career path internationally.

Program Outcome

The EIMT's Master in Data Science Program will instill in students excellent skillets and cultivate trailblazing techniques and tools. Students graduating from this degree program will have become adept at the following skills:

Capable of applying a coherent understanding of data science concepts and practices and to function as an effective leader in a diverse professional context.

Have critical thought process, judgment, and application of the skills to carry out substantial industry relevant-projects successfully.

The capability of proficiently disseminating information to both technical and non-technical audiences as well as Industry practitioners.

Ability to apply research methods, practices, and principles in solving an array of data science issues and developing appropriate solutions.

The capability of aggregating, analyzing, and transforming data into valuable information

Adept at data science tools and techniques

Program Highlights

See which benefits you can derive from joining this program.

Online Program

18-month online program

Industry Expert Mentor

Highly Experienced Faculties
Collaborations

Collège de Paris has designed agreements and conventions with academic institutions in France and abroad. This allows students to keep updated with the global learning pedagogy.
Dedicated Support Team for your Academic Journey

Industry Experts Live Sessions

Grievance Redressal System

Dedicated Tech & Academic Support on how to leverage the platform features.
Become Job-ready

Real-world case studies to build practical skills

Hands-on exposure to analytics tools & techniques such as Python, Tableau, SQL

Learn industry insights through multiple industry knowledge sessions

Program Curriculum

An overview of what you will learn from this program.

Python Programming

Database Management System

R Programming

Exploring Data Analysis

Machine Learning

Machine Learning Model Deployment

Artificial Intelligence

Data Visualization Using Tableau/Power BI

Attention: Important Note

Program contents are indicative and subject to changes, as European Institute of Management Technology (EIMT), constantly improves its curriculum according to evolutions in the business world.

Capstone Projects

Test your skills and mettle with a capstone project.

Retail

Techniques used: Market Basket Analysis, RFM (Recency-Frequency Monetary) Analysis, Time Series Forecasting

E-commerce

Techniques used: Text Mining, Kmeans Clustering, Regression Trees, XGBoost, Neural Network

Web & Social Media

Techniques used: Topic Modeling using 9 Latent Dirichlet Allocation. K-Means & Hierarchical Clustering

Banking

Techniques used: Linear Discriminant Analysis, Logistic Regression, Neural Network, Boosting, Random Forest, CART

Supply Chain

Techniques used: Text Mining, Kmeans Clustering, Regression Trees, XGBoost, Neural Network

Healthcare

Techniques used: Logistic Regression, Random Tree, ADA Boost, Random Forest, KSVM

Retail

Techniques used: Market Basket Analysis, Brand Loyalty Analysis

Insurance

Techniques used: NLP (Natural Language Processing), Vector Space Model, Latent Semantic Analysis

Entrepreneurship /Start Ups

Techniques used: Univariate and Bivariate Analysis, Multinomial Logistic Regression, Random Forest

Finance & Accounts

Techniques used: Conditional Inference Tree, Logistic Regression, CART and Random Forest

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Why EIMT?

Enrol with a leading global online educational course provider.

Users

250000+

Top Ranked Programs

Industry Experts

500+

Expert Faculties

1000+

Data Science Batch Profile

Our students include freshers and experienced professionals from across industries, functions and backgrounds.

Benefits

Learn from leading academicians and several experienced industry practitioners from top organizations.

Personalised workshops based on your proficiency level to help you get on par.

Mix of Live Classes & Recorded lectures for your convenience.

24*7 Student Support, Quick doubt resolution by industry experts

Alumni Highlights

200+

Global Companies
$122K PA

Average CTC
$250K PA

Highest CTC
87%

Average Salary Hike

Our Users From

We Have Users For Our Data Science Program From Following Companies

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Application Process

The application process at the EIMT Master of Data Sceince Program is simple, easy, and completely online. Enroll in the program with a simple online form.