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Advance Diploma In Big Data Analytics


About the Course

In today's world, properly leveraged data can give organizations all types of competitive advantage with effective and timely decisions. Business Organizations need to deal with vast amount of data which are of different complexities and varieties on a daily basis and hence there is a growing demand for professionals to convert the extensive data into powerful insights, analysis and interpretations for efficient decisions. Big Data has a major influence on the businesses worldwide, with applications on a wide range of industries such as healthcare, insurance, transport, logistics, and customer service.

The Advanced Diploma in Big Data Analytics is a one-year Diploma program which aims to prepare the learner to ask the right questions about the data, communicate effectively with data scientists and do the basic exploration of large and complex data sets.

Big Data Analysts create and maintain analytics infrastructure and are responsible for the development, deployment, maintenance, and monitoring of architecture components, such as databases and large-scale processing systems. This new Advanced Diploma programme combines cutting-edge academic learning with front- line knowledge about the impact of Big Data Analytics. With like-minded, global professionals and university researchers, you will learn how to extract useful information from data and increase the ROI of a business.


Eligibility:

Any Degree With Maths or Stat or Computer as one Subject & Final year Engineering and Polytechnic Diploma holders


Duration:

  • Minimum: One academic year as two semesters from the year of joining the course
  • Maximum Duration for the completion of the course: The Candidate shall have to complete the course within two academic years from the year of joining the course
  • Minimum: One academic year as two semesters from the year of joining the course

Medium of Instruction:

English Only

Mode of Study and Examination:

Online Mode through ANU MOOCs platform

Programme Objective:

  • To acquaint the learner with the fundamentals of Big Data Analytics
  • To understand and analyze the complex data using various techniques for the better insights.
  • To prepare the learner to ask the right questions about the data, communicate effectively with data scientists and do the basic exploration of large and complex data sets.

Outcomes:

  • The learner would be able to identify the basic and significant characteristics of the data sets and compare them for various applications
  • The learner would be able to apply right computing technologies for desired analysis, findings and interpretations for better decisions.

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Programme Structure

First Semester

Sl.No. SUBJECTS Credits
     
1 Programming in Python 4
2 Data Science and Business Analysis 4
3 Machine Learning 4
4 Distributed Systems and Cloud Computing 4
5 Introduction to Artificial Intelligence 4
6 Programming in Python – LAB 2
7 Distributed Systems and Cloud Computing–LAB 2
Total 24
TOTAL MARKS
UE IA TOTAL
70 30 100
70 30 100
70 30 100
70 30 100
70 30 100
- - 100
- - 100
350 150 700

Second Semester

Paper Code SUBJECTS Credits
     
1 Big Data Analytics in Business 4
2 Advance Analytics 4
3 Applications of NLP 4
4 Robotics and AI 4
5 Social Media Analytics 4
6 Robotics and AI-Lab 2
7 Project Work 6
Total 28
TOTAL MARKS
UE IA TOTAL
70 30 100
70 30 100
70 30 100
70 30 100
70 30 100
- - 100
- - 100
350 150 700

Total credits: 52


Fee Structure:

Course Fees / Tuition Fees(Rs) Examination Fees (Rs) for two semesters
24,000 /- 2000 /-
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