Master of Science in Data Science at Liverpool John Moores University, Liverpool Online Course

Liverpool John Moores University, Liverpool Liverpool, Merseyside, EnglandBy Liverpool John Moores University, Liverpool via upGrad

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Embark on a journey in the Data Science field with the “Master of Science in Data Science” Degree that teaches 14 programming tools & languages.

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 HighlightsMedium of InstructionsMode Of Delivery
EnglishVideo and Text Based

Course Details

The “Master of Science in Data Science” online degree course is a 20 Months online course for working professionals that are awarded by dual institutes, IIIT Bangalore, and from Liverpool John Moores University LJMU, the UK. This Masters program is for both freshers, and experts irrespective of being Marketing & Sales Professionals, Freshers, Data Professionals, Domain Experts, Software & IT Professionals.

Liverpool John Moores University is among the top UK Schools for getting a “Master of Science in Data Science” degree course. The candidate enrolled in this course gets options to choose from specializations like Natural Learning Processing, Deep Learning, Data Science Generalist, Business Intelligence, Business Analytics, and Data Engineering.

The “Master of Science in Data Science” syllabus has content curated by the faculty and industry leaders in the form of videos, case studies, and assignments. Some of the most required skills learnt are Predictive Analytics using Python, Machine Learning, Statistics, Data Visualization, Big Data Analytics, etc.

The “Master of Science in Data Science” training program helps in knowledge acquisition and also helps in the student’s further employment opportunities. Also, adding this certificate to their professional portfolio leaves a good impression on the hiring companies, as the candidates are ready to have a competitive edge in their careers in Data Science.

Programme Offerings

Online Course
Career relevant curriculum
Faculty Guidance
3 projects
Certificate by HSE University
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Eligibility Criteria

Educational Qualification:

The minimum educational qualification required for candidates to apply for this Master of Science in Data Science course is a Bachelor’s Degree at least 50% marks from a recognized university

Work Experience

The candidates need not have any prior experience in coding to apply for this course.

Certification Qualifying Details

Candidates should complete all the in-course lectures, projects, and assignments to receive the completion certification.

Admission Details

Admission to the “Master of Science in Data Science” Certification by Liverpool John Moores University just requires 3 steps to be followed:

Step 1: Visit the Site: Candidates must visit the official website.

Step 2: Online Eligibility Test - Once the application form is duly filled candidates have to sit for 17 minutes online examination to test their quantitative, and logical aptitude abilities.

Step 3: Get Shortlisted - The admission committee will then review the profile and test scores of the candidates, and shortlisted candidates will be sent an offer letter for admission acceptance.

Step 4: Block the Seat - Finally, selected candidates need to pay Rs. 25,000 for enrolling into the program,

Step 5: After all these steps, candidates can start with the Prep Course on Data Science.

Application Details

Filling of Application forms for the Master of Science in Data Science program needs the candidate to Create an account by entering the phone number to get started. Along with this, they need to submit some other important documents to get done with the application form.

The Syllabus

Data Analysis in Excel
Analytics Problem Solving
Tools Covered: Excel

Introduction to Python - I
Introduction to Python - II
Programming in Python
Data Analysis using SQL
Python for Data Science
Visualization in Python
Exploratory Data Analysis
IMDb Movie Assignment
Maths for Data Science
Inferential Statistics
Hypothesis Testing
Advanced SQL
Credit EDA Case Study
Tools Covered: Python & Excel

Introduction to Machine Learning and Linear Regression
Linear Regression Assignment - Bike Sharing Systems
Logistic Regression
Unsupervised Learning: Clustering
Business Problem Solving
Clustering Assignment (Optional)
Case Study: Lead Scoring
Tools Covered: Python & Excel

Tree Models + Boosting (Optional)
Model Selection & General ML Techniques
ML Lab I: Classification
Principal Component Analysis
Advanced Regression - I
Advanced Regression - II and ML Lab II: Regression
Text Analytics & Processing + Text-Based Predictive Modelling
Basic Visualisation using Tableau
Data Storytelling
Business Case Study
Data Modelling
SQL Weeklong Lab
Advanced SQL - Week II
Algorithm Analysis + Recursion
Searching and Sorting (Divide and Conquer included)
Data Structures - Sets, Dictionaries, Stacks, Queues
Python - OOPS
Python Weeklong Lab
Capstone Project
Tools Covered: Python, MySQL, Tableau

Tree Models
Model Selection & General ML Techniques
Principal Component Analysis
Advanced Regression
Advanced Regression Assignment
Bagging and Boosting
Time Series Analysis
Telecom Churn Case Study
Text Processing
Feature Extraction & modeling
Assignment - Natural Language Processing
Intro to DL
NLP Industrial Applications
Chatbot Case Study
Capstone Project
Tools Covered: Python

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
Visualisation using PowerBI
Visualisation using Plotly
Data Storytelling
Plotly Case Study
Capstone Project
Tools Covered: MongoDB, MySQL, AWS, Excel, Power Bl, Tableau

Tree Models
Time Series Forecasting
Retail-Giant Sales Forecasting Assignment
Model Selection & General ML Techniques
SQL Best Practices
Advanced Excel
Telecom Churn Case Study
Structured Problem Solving using Frameworks
Structured Problem Solving Assignment
Operations Research
Data Storytelling
Operations Research Case Study
Capstone Project
Tools Covered: MySQL, Excel, Python, Tableau

Introduction to Big Data(Optional)
Introduction to Cloud and AWS Setup
Introduction to Hadoop and MapReduce Programming
MapReduce Programming Assignment (optional)
Data Management and Relational Database Modelling
NoSQL Databases and Apache HBase and NoSQL Databases and MongoDB(Optional)
Data Warehousing (Optional)
Data Ingestion with Apache Sqoop and Apache Flume
Hive & Querying
Hive Assignment (optional)
Amazon Redshift
Introduction to Apache Spark
NYC Parking Assignment (Optional)
Project: ETL Data Pipeline
Optimizing Spark for Large Scale Data Processing
Apache Flink(Optional)
Real-Time Data Streaming with Apache Kafka
Real-Time Data Processing using Spark Streaming
Stock data Analysis Assignment (Optional)
Building Automated Data Pipelines with Airflow
Analytics using PySpark
Classification Assignment (Optional)
Project: Real-Time data processing
Capstone Project
Tools Covered: Hadoop, MapReduce, Spark, Beehive

Introduction to Research and Research Process
Research Design
Literature Reviewing
Research Project Management
Report Writing and Presentation Skills
Scientific Ethics

Investigate the risk factors for eye disease from complex longitudinal datasets
Investigate a diagnosis of eye diseases using imaging ophthalmic data
Multi-task learning for drug design and discovery
Using stacking for brain tumor discrimination
Investigate dietary patterns and metabolite fingerprints of takeaway (fast) food consumers using PCA and Clustering methods
Longitudinal studies to investigate the complex link between corporate environment engagement, green disclosure, business model transformation and supply chain performance
Preventing credit card fraud through pattern recognition
Developing a recommender system for a Media giant
Using social media feed to place tweets regarding natural disasters on a map

Evaluation Process

The Master of Science in Data Science degree does not require candidates to sit for any after-course examinations. The candidates need to do is compulsorily complete all the in-course assessments, and capstone projects successfully to earn the certifications.

Liverpool John Moores University, Liverpool Frequently Asked Questions (FAQ's)

1: What kind of learning experience should one expect from a “Master of Science in Data Science” Certification?

The lectures are content taught by leaders in the Data Science field along with the globally renowned faculty of LJMU and IIT Bangalore.

2: When can a student choose a specialisation track?

The “Master of Science in Data Science” program has nearly 23 weeks of the common syllabus, and the rest 29 weeks will be for course specialization and capstone projects.

3: How will I know which specialisation is the best for me?

When candidates are done with studying the first half of the syllabus, upGrad gives them proper recommendations with respect to their background that will help them select the choice of their specialization.

4: What is the time commitment that a student should give for the online Master of Science in Data Science course?

The “Master of Science in Data Science” Training requires every candidate to allot at least 15 hours every week to help them complete this program with flying colors.

5: Does a candidate get special different career services for each specialization?

Any specialization that a candidate selects will give him or her learnings based on their background and help them be a master of the domain in Data Science.

6: Are there any fees or down payment for the Master of Science in Data Science program?

There are banks that charge some amount as processing fees ranging from Rs. 99- Rs. 500 on 0% Credit Card EMI transactions. Even if the charge is made, it will be billed along with the first repayment installment.

7: Will I be charged if I opt for cancellation/refund from the course after paying the balance with no cost EMI?

The candidates can be charged with an additional amount towards the interest paid by the upGrad to the bank, but will only be refunded the amount deducted from their card.