Start your Big Data career by pursuing an M.Sc. from Liverpool John Moores University post completion of a PG Program in Big Data Engineering with UpGrad

In association with

With Industry Experts From

Online

Format

-- months

Duration Recommended 10-12 hrs/week

12800

Students Enrolled

300+

Hiring Partners

Program Overview

Key Highlights

Only online M.Sc in Big Data for working professionals

8+ Case Studies and Projects

Timely Doubt Resolution

Liverpool John Moores University Alumni Status

Job Assistance with Top Firms

It is a one-stop solution for professionals looking to upskill in Big Data. If you are looking to step up the ladder, then this is the right choice for you!

Career Impact

Syllabus

Best-in-class content by leading faculty & industry experts in the form of videos, industry projects, assignments & live sessions

Download Syllabus

Programming Languages and Tools

LJMU

Master's Degree from LJMU

Complete all the courses successfully to obtain this prestigious recognition from LJMU.

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Connect with Global network of Faculty from LJMU
Get access to complete digital library of LJMU

Top Skills You Will Learn

Data Processing, Data Warehousing, Real-time Processing, Biview more

What You Can Become

Big Data Engineer, Big Data Admin, Big Data Architect, Big Dview more

Who is This Program For

IT and Technology Professionals, IT Project Leads and Manageview more

Minimum Eligibility

Bachelors Degree with min. of 6 months of work experience (iview more

Our Hiring Partners

Empowering learners of tomorrow

Over 2,300 students have completed this course and started working at their dream job, whats stopping you?

Instructors

Learn from World Class Faculties and Industry Leaders, in Big Data

Prof. Paulo Lisboa

Head of Dept - Applied Mathematics

Studied mathematical physics at LU and was the chairman of Industrial Mathematics at LJMU in 1996 and Head of Graduate School in 2002

Dr. Atif Waraich

Faculty - Computer Science

A Senior faculty of Engineering and Technology at LJMU who has multiple publications in the healthcare domain

Prof. Dhiya Al-Jumeily

Professor - Artificial Intelligence

A Senior Member of the IEEE and a Chartered IT Professional. He is a fellow of the UK Higher Education Academy

Prof. S. Balasubramaniam

Former Dean & Head of CS & IT

A stalwart with a rich work experience that includes academic research, experimental research and software product development

Joy Mukherjee

Engineering Manager

A leading industry expert with experiences in engineering, and delivering platforms and products across varied domains and verticals

Sourabh Mukherjee

VP - Lead Data Management

A leading industry expert with experiences in engineering, and delivering platforms and products across varied domains and verticals

Shakun Gupta

Engineering Manager - Big Data

Shakun Gupta is an experienced industry stalwart with more than 13 years of industry experience in Big Data.

Parwaz Dalvi

Lead Architect

Parwaz comes with more than 20 years of industry experience in Enterprise Data Architecture, Design and Consulting with expertise in providing solutions for Cloud and Big Data.

Rahul Mathur

Big Data & ML Analyst

Rahul has over 6 years of experience in development, designing and analysis of large scale data using Big Data Technologies and machine learning

Pallavi Nagesha Rao

Software Engineer

Pallavi Nagesha Rao has more than 20 years of experience in development, designing and analysis of large-scale data using Big Data Technologies.

Syllabus

Download Brochure

500+

Content Hours Available

Case Study and Projects

Coding Assignments

Pre-Requisites

3 Weeks

1 Assignments

Introduction to Programming
20hr
OOP & Data Abstraction
9hr 30min
Data structures and algorithms
29hr 15min
RDBMS and SQL
6hr 45min
Java Crash Course
16hr
Diagnostic Test
1hr 30min
Course Assignment
8hr
Introduction to Big Data
3hr 15min

Course 1: Foundations of Big Data

6 Weeks

1 Assignments

Welcome to Program
3hr
Data structures - Linear & Non-Linear
26hr 15min
Distributed Algorithm Design
5hr 15min
Algorithm Design using MapReduce
5hr 30min
Course Project
4hr 5min
Placement content
3hr

Course 2: Big Data Engineering Platforms

9 Weeks

2 Assignments

AWS Familiarization
5hr 15min
Introduction to Hadoop: Distributed Computing Env
9hr 45min
Data and Distributed Storage (HDFS)
9hr 15min
MapReduce programming
22hr 45min
Spark & Spark Assignment
18hr 40min
Spark Using Scala
15hr 20min
Pig
13hr 45min
Amazon DynamoDB
14hr 45min
Course Project
18hr 30min
Placement content
16hr

Course 3: Processing Big Data: ETL and Batch Processing

8 Weeks

2 Assignments

ETL and Data Warehousing
10hr 45min
Data Ingestion using Sqoop and Flume
16hr
Hive & Hive Assignment
18hr 30min
HBase
14hr 15min
Oozie: Workflow Schedular for Hadoop
10hr 30min
Course Project
17hr 15min
Placement content
16hr

Course 4: Processing of Real Time Data and Streaming Data

10 Weeks

2 Assignments

Data Streams: Introduction and Ingestion
17hr 25min
Kafka
19hr 50min
Storm & Storm Assignment
13hr 30min
Spark Streaming
14hr 30min
Trident Storm
9hr 45min
Course Project
16hr 10min
Placement content
16hr

Course 5: Big Data Analytics

5 Weeks

2 Assignments

Data preprocessing for ML
8hr 45min
Regression
13hr 15min
Classification & Classification Assignment
9hr 15min
Clustering
9hr 30min
Course Project
20hr 15min

Course 6: Capstone

6 Weeks

Capstone Project
28hr 10min

Course 7: Data Mining (Bridge Course for M.Sc)

8 Weeks

1 Assignment

Frequent Item Sets
Association Rule Mining
Neural Networks
Deep Learning
Text Mining
Mining Web Data

Course 8: Research Methodologies

8 Weeks

0 Weeks

What is research?
Types of Research
Research Process
Data Collection
Report Writing and Presentation
Scientific Ethics

Course 9: Master's Dissertation

16 Weeks

0 Weeks

A dissertion based on the Big Data concepts learnt.
45hr

Industry Projects

Real-life industry-sponsored Big Data projects
Get valuable hands-on experience and develop a portfolio of projects
Access to $150 worth of free AWS Cloud to deploy your projects

Build a Music Recommendation Engine

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Find Top 100 Trending Songs on Saavn

Saavn uses tons of historical data to periodically compute trending songs, artists and popular playlists. Help Saavn build a Big Data solution to identify top ranking songs, artists and playlists.

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Build Big Data Infrastructure for Credit Card Fraud Detection

Design and implement Big Data solutions to ingest, process and store data to detect credit card frauds in real time.

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The upGrad Advantage

Strong hand-holding with dedicated support to help you master Big Data

Regular 1-on-1 interaction with Industry Experts

Discussions on career growth and industry expectations
Feedback on project work and assignments

Dedicated Student Success Mentors

Help in learning plans ensuring consistent progress
Resolve non-academic queries for smooth learning experience

Doubt Resolution on Q&A Forums & WhatsApp Groups

Timely doubt resolution by qualified teachers
Regular live Q&A sessions with experts

Networking with Industry Experts & Peers

Live sessions by industry experts on relevant topics
Interaction with experts and peers in online and offline events translating into new job opportunities

Job Placement Assistance

Personalised resume building exercise
Mock interviews with our hiring experts
Job Interviews with 250+ hiring partners

Career Transition Handbook

Learn more about our successful career transitions in Data

Download Now

Student Reviews

Ekjyot Singh Rehsi

Radio Access Networks Engineer, Ericsson4 years experience

If a person like me, who has absolutely no relation with the IT industry, can make a career transition, nothing should hold you back. If you really are interested in this course, you must check out upGrad’s course.

Detailed Review

Rohit Awhad

Senior Software Engineer, Unimoni4 years experience

The distinguishing feature about the course is the interface of the upGrad portal where we can see our gradual progress on the course screen regularly. Additionally, there is a discussion portal where all peers interact with each other and clear their doubts. Discussion forum is monitored by teaching assistants who come from reputed institutes.

Detailed Review

Deepika Chauhan

AVP, Citi Bank11 years experience

Intimidating, satisfying, demanding, grueling, arduous, rewarding, gratifying and many more adjectives, all that make the farrago of experiences this journey is.

Detailed Review

Raviteja Ganti

Software Engineer, Microsoft3 years experience

The best thing that I loved about this program is the fact that each student has a dedicated mentor who tracks our progress and also helps out if we are facing any issues. upgGrad takes any feedback very seriously and resolves it promptly.

Detailed Review