enquire-now
mydegreeonline.in
Sign In Sign In with Google
university-banner

ONLINE MBA

University: AMITY UNIVERSITY
Specialization : Data Science & Analytics
Duration: 2 Year
WhatsApp Share
Key Features
Curriculum
Fees
Special Offers

Eligibility:

Graduation in any discipline with 40% marks in the last qualifying examination. Below 40% marks, a test is conducted & if passed then the student is eligible for admission.

Applicants must possess sufficient knowledge and understanding of the English Language.


Key Features:

Academic: Student Services:

This special program by Amity Online helps learners turn Data into key business insights and developed adeptness in all related tools and technologies that are in demand in the industry. It is built around a result-focused challenging and comprehensive curriculum that will prepare a student for business leadership in the 21st century.

Programming Languages & Development tools covered: Tableau, R, Hadoop, Python, Spark, Hive, SQL.

Online coursework with case studies, mini-projects and assignments & Practical business cases explored with Capstone Analytics Project.

Amity's Online MBA is India's only online MBA to be ranked by QS globally.

Total flexibility with Web Proctored Mode: freedom to take exams anywhere, as well as the choice to take Semester Breaks.

Easy-to-use Learning Management System (LMS) accessible anytime, anywhere.

Exclusive doubt clearing session per program every Semester.

Study material available in downloadable pdf format as e-copy.

70+ Free Certificate Programs from Amity Open Learning System – Basic Communication, Time Management, Negotiation.

Open-source resources and web-links also made available like Swayam videos, NPTEL videos for additional learning.

Learning Outcomes:

Learn to make sense of organizational data, develop processes for managing data and use data to inform key business decisions.

Learn how to combine data visualization and predictive models to increase the accuracy of your predictions.

Learn to formulate a business question as a scientific hypothesis that can be tested using statistical methods.

Create and validate regression models that can be used to determine the effect of attributes on a decision and predict likely outcomes.

Gain the expertise to use a wide range of modern statistical tools and software packages like R, Python, Spark, Excel, MySQL, Hadoop.

Learn to do visual analytics with free access to paid software packages like Tableau.

Post enrolment services through a dedicated Student Relationship Manager.

Totally Online Admission Process including uploading of eligibility documents.

Multiple fee payment options, including no-cost EMI from Fee Financing companies.

Dedicated Career Support & Virtual Job Fairs With 100+ Hiring Partners.


Curriculum:

SEMESTER 1

Managerial Economics

Statistics for Management

Professional communication

Accounting for Managers

Marketing Management

SEMESTER 2

Legal Aspects of Business

Business Research Methods

Financial Management

Human Resource Management

Conflict Resolution and Management

SEMESTER 3

Strategic Management

Minor Project

Professional Ethics

Analytics for Decision Making

Data Engineering

Data Visualization and EDA

Introduction to Data Science

SEMESTER 4

Major Project

Management in Action - Social Economic and Ethical Issues

Digital Marketing

Advance Deep Learning

Supervised and Unsupervised Machine Learning


Fee Details:

Full Fee: Rs. 183080.00

Fee per year: Rs. 94525.00

Fee per semester: Rs. 49750.00

Disclaimer:

The information /content provided above is replicated from sources like the website, online brochures and other such materials posted in the public domain by the University. Mydegreeonline.in does not vouch for the accuracy or completeness of information /content and therefore cannot be held liable for the same. Students are advised to do their own searches and research in case they wish to verify or authenticate the information /content. Students can also contact an MDO advisor who can be of assistance for any questions and also aid in connecting students with the appropriate university official for detailed information.