Master of Science in Computer Science
Learn in-demand skills and grow your Software Development career with a Master’s in Computer Science from Liverpool John Moores University
6
Specialisations
Specialisations
Technical University (Private)
18 Months*
Recommended 12-15 hrs/week
Mar 31, 2022
Start Date
5 out of 6 Learners
Get Positive Career Growth
EMI options
Starting at Rs. 11,850*
Program Overview
Key Highlights
Placement Assurance or Money Back
IIIT Bangalore Alumni Status
IIIT Bangalore Alumni Status
e-portfolio
No Cost EMI option
Student Support available all day for your convenience (24*7)
Offline peer-to-peer networking (non-COVID time)
Showcase your expertise and skills to potential employers
Get 4 months Executive Certification in Data Science & Machine Learning, for free
7+ Case Studies and Projects
Online Sessions + Live Lectures
World Class Faculty Members & Industry Experts
10 Programming Tools & Languages
Exclusive access in Data Science & Machine Learning, for free
Software Career Transition Bootcamp for non-tech & new coders
Top Skills You Will Learn
Software development using languages like Java & Python & specialize in any of the mentioned fields
Job Opportunities
Software development using languages like Java & Python & specialize in any of the mentioned fields
Who Is This Programme For?
Software development using languages like Java & Python & specialize in any of the mentioned fields
Minimum Eligibility
Bachelor’s Degree with 50% or equivalent passing marks. No coding experience required.
Programming Languages and Tools Covered
Syllabus
- Preparatory Course
- Toolkit for Experiential Learning
- Experiential Learning
- Requirements Identification
- OOD + Software Engineering
- Data Structures and Algorithms
- Career Transition Bootcamp (Optional)
- Full Stack Development
- Cloud Backend Development
- Cyber Security
- Fundamentals of Programming Language with basic data structures (Java)
- Exploratory Data Analysis and Data Visualization
- Intro to ML + Understanding the ML pipeline
- Introduction to Cloud
- Elastic Provisions of cloud and setting up cloud
- Assignment
- Introduction to HDFS
- Introduction to SQL
- Hive Querying
- Case Study
- Assignment
- Introduction to Spark
- PySpark Programming
- PySpark implementation on a Dataset: ALS & Spark Streaming
- Assignment
- Data Modelling
- SQL Best Practices
- SQL Assignment: IMDb Movies
Advanced Excel - NoSQL Databases and Best Practices
- Introduction to Big Data and Cloud
- Hive and Querying
- Hive Case Study
- Visualisation using Tableau
- Sports Analytics – IPL Visualisation Assignment
- Visualization using PowerBI
- Visualization using Plotly
- Data Storytelling
- Plotly Case Study
- Capstone Project
- Inferential Statistics and Hypothesis
- Testing
- Linear Regression – I
- Linear Regression – II
- Logistic Regression
- Assignment
- Decision Trees
- Random Forest Trees
- Assignment
- Principal Component Analysis + Linear Algebra
- Clustering
- Introduction to Neural Nets with TensorFlow
- Convolution Neural Networks
-
Melanoma Detection AssignmentRecurrent Neural Networks
- Natural Language Processing Fundamentals
- Case Study on applications of Deep Learning in NLP
-
Case Study on Computer VisionNN Assignment: Gesture Recognition
- Pre-requisites
- Information Security and Applied Cryptography
- Network Security in Ethical Hacking
- Application Security in Ethical Hacking and Advanced Concepts in
- Cyber Security
- Capstone Project
The upGrad Advantage
Strong hand-holding with dedicated support to help you master Data Science
Learning Support
More Info
Career Assistance
More Info
Practical Learning and Networking
More Info
Industry Expert Guidance
- Interactive Live Sessions with leading industry experts covering curriculum + advanced topics
- Personalised Industry Session in small groups (of 10-12) with industry experts to augment program curriculum with customized industry based learning
Student Support
- Student support is available 7 days a week, 24*7.
- You can write to us via studentsupport@upgrad.com or for urgent queries use the ” Talk to Us” option on the learn platform.
Career Mentorship Sessions (1:1)
- Get mentored by an experienced industry expert and receive personalised feedback to achieve your desired outcome
High Performance Coaching (1:1)
- Get a dedicated career coach after the program to help track your career goals, coach you on your profile, and support you during your career transition journey
Networking & Learning Experience
- Live Discussion forum for peer to peer doubt resolution monitored by technical experts
- Peer to peer networking opportunities with a alumni pool of 10000+
- Lab walkthroughs of industry-driven projects
- Weekly real-time doubt clearing sessions
Industry Readiness Assessments
- Industry oriented tests which are prepared and validated by domain experts for continuous evaluation and improvement
Admission Process
Online Eligibility Test
Fill out an application and take a short 45 mins Online test with 8 questions.
Review & Shortlisting of Suitable Candidates
Our faculty will review all applications. Following this, a virtual interview will be conducted before offer letters will be rolled out so you are assured a great peer group to learn and network with.
Content
Make a quick block payment with assistance from our loan partners where required, receive immediate access to the prep content and begin your upGrad journey.
Programme Fee – Indian Residents
Rs. 4,99,000 (incl. taxes)
Starting at Rs 11,850/month. No cost EMI options available.
Our Learners Work At
Top companies from all around the world have recruited upGrad alumni
Student Reviews
The program has been very useful and my experience with upGrad and the student mentors at upGrad has been very good. The content taught is very relatable and the method of delivery is also convenient for working professionals like us.
The program has taught me a lot and the case studies have been very useful. The student mentors are very helpful and have helped me solve any and every problem that I have faced. It has been a great experience for me, I would definitely recommend the program to my friends.
upGrad teaches complex topics in a very simple manner. The case studies are easily understandable and have added value to my resume and helped me bag a 125% salary hike. The curriculum is very relevant to today’s market scenario and the upGrad team has done a good job in bringing education right at our palms.
Frequently Asked Questions
What is the Master's in Computer Science with upGrad?
The Master’s degree is an engaging yet rigorous 19-Months* online program designed specifically for working professionals to develop practical knowledge and skills, establish a professional network, and accelerate entry into computer science careers. The certification is awarded by LJMU.
What should I expect from the Master's Degree in Computer Science?
Expect to carry out several industry-relevant projects simulated as per the actual workplace, making you a skilled computer science professional at par with leading industry standards.
What should I NOT expect from the Master's Degree in Computer Science?
What should I NOT expect from the Master’s Degree in Computer Science?
What type of learning experience should I expect?
The content will be a mix of interactive lectures from industry leaders as well as world-renowned faculty. Additionally, the program comprises live lectures or hangout sessions dedicated to solving your academic queries and reinforcing learning. Offline upGrad BaseCamps will also facilitate peer-to-peer interactions.
Is any certification granted at the end of the program?
Post successful completion of the program, a certificate in Executive PG Programme would be granted from IIIT Bangalore and a Master’s degree from LJMU.
You can also complete the 4-month Data Science & Machine Learning certification and 8 week Data Structures & Algorithm Bootcamp and get certificates for both the courses.
Both courses are optional and free.
For queries, feedback & assistance
upGrad Learner Support
Disclaimer:
upGrad is India’s largest online higher education company, as per monthly visit data and total visits data for the last 28 days received from similarweb, as on April 13, 2020. Deakin University CRICOS Provider Code 00113B.