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Anna University B. Tech Data Science Syllabus (and more)

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Anna University Data Science Syllabus

Anna University Data Analytics for B.Tech IT Students Syllabus, Fees and More

Anna University Data Science Syllabus Details
Course offered Data Analytics for B Tech IT Students offered as a specialization in 7th semester
Stream Data Science & Analytics
Duration A minimum of 28 hours spread through 45 session
Fee of course (INR) 2,500
Accreditation UGC NAAC
Entrance exam No
Work ex required No
Eligibility Must be pursuing B.Tech in Information University from Anna University
Admission Help Click here

Quick Links for Reference

Introduction

Anna University was established in 1978 as a state technical institute. It is located in Chennai, Tamil Nadu, India. The university offers a B. Tech in Information Technology where students are equipped with data science knowledge.

List of Courses Offered

1. Data Analytics for B.Tech IT Students

Course Duration: A minimum of 28 hours spread through 45 session

Course Nature: B. Tech in IT 7th semester course

Course Objectives 

    • Introduction to big data analytics
    • Acquire data analytical skills using different statistical tools
    • Familiarize with data streams and visualization
    • Learn crucial skills in data mining and clustering

Data Analytics Syllabus

Introduction to Big Data

  • Duration: 8 hours
  • It includes units such as;
    • Analytical Processes & Tools
    • Evolution of Analytic Scalability
    • Web Data Management
    • Analysis vs. Reporting of Data-Modern Data Analytical Tools
    • Statistical Inference
    • Prediction Error
    • Statistical Concepts: Sampling Distributions
    • Data Analysis
    • Duration: 12 hours

Students cover the following topics:

    • Multivariate Analysis
    • Inference and Bayesian Networks
    • Regression Modelling
    • Analysis of Time Series: Linear Systems Analysis and Nonlinear Dynamics
    • Support Vector and Kernel Methods
    • Neural Networks: Learning and Generalization
    • Fuzzy Logic: Extracting Fuzzy Models from Data, Stochastic Search Methods, and Fuzzy Decision Trees
    • Competitive Learning
    • Principal Component Analysis and Neural Networks

Mining Data Streams

  • Duration: 8 hours
  • Students must cover the following:
    • Introduction to Stream Concepts
    • Real-Time Analytics Platform(RTAP) applications
    • Stream Computing-Sampling data in a stream, filtering streams, and counting distinct elements in a stream
    • Decaying window
    • Real-time sentiment analysis and stock market predictions
    • Stream data model and architecture
    • Case Study Analysis

Course Outcomes

By the end of the program, a student must be able to:

  • Apply all the statistical analysis methods
  • Use various statistical tools for data analysis
  • Design distributed file systems
  • Apply stream data model
  • Use visualization techniques for data analysis

Eligibility

Candidates must be pursuing B.Tech in Information University from Anna University. All interested candidates must have completed their high school successfully. Must have an interest in technology and science-related courses

2. Big Data Analytics Training Program

  • Course Duration: 1 day
  • Course Nature/Type: Certification Data Analytics Seminar
  • Training Capacity: 30 participants (first-come-first-served basis)

Who’s Eligible?

The training program is open to all professionals interested in furthering their data analytics knowledge. The target includes researchers, faculty members, analytics practitioners, and postgraduate students in management/data science/computer science.

How to Register

All interested participants are required to register through the institution’s website. Only register when the program is open.

Areas Covered

  • Benefits of Big Data Analytics
  • Use of Closed-Loop Method and Corporate performance Management Techniques
  • Use of Customer Segmentation, Data Mining, and Correlation Analysis in management
  • Real-Time Analytic Strategy for Performance Monitoring and Operational Reporting
  • Predictive Analytics
  • Application of Software and Statistical Tools

Fee Structure

  • 2500 INR. It covers refreshments, lunch, and the training kit.

Accreditation

Ranking

  • Ranked 10th in India by the National Institutional Ranking Framework.

Placement Details

Anna University achieves more than 95% placement success. More than 100 organizations participate in the exercise. They include Procter & Gamble, Mahindra Electrics, KPMG, Deloitte, Nielsen, Sun Pharma, Cognizant, and YES Bank.

Job Prospects and Expected Salary

Data analytics has increasingly become necessary for every organization handling data. As such, data science graduates are quickly absorbed into the job market.

The graduates work in different sectors including healthcare, service, consultancy, and manufacturing. The introductory salary for graduates is approximately Rs 12 lakhs annually with the highest getting up to Rs 23 lakhs annually.

Frequently Asked Questions

Q1: Can I undertake more than one data science course?

Ans: Yes, you are allowed to take as many courses as you deem necessary. However, you can only undertake one course at a time.

Q2: How should I remit payment for the big data analytics program at Anna University?

Ans: All participants are required to draw a Demand Draft in favor of “ the Dean, MIT Campus, Anna University, Chennai-600044”. Alternatively, the candidates can use credit cards or debit cards to make the payments.

If you have any questions, please ask us here – we answer every single query of students. 

Contact Details

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Image Credit: Geralt

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