Master of Science in Data Science - Liverpool John Moores University
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Key Information
Campus location
Online United Kingdom
Languages
English
Study format
Distance Learning
Duration
20 months
Pace
Part time
Tuition fees
USD 8,249
Application deadline
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Earliest start date
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Scholarships
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Introduction
Kick-start your Data Science journey with Globally Recognised Master from Liverpool John Moores University.
Key Highlights
- Complimentary Python Programming Bootcamp.
- Career Essential Soft Skills Program.
- WES Recognised.
- 500+ Hours of Learning.
- 25+ Case Studies and Projects.
- Fortnightly Group Mentorship with Industry Mentors.
- One-on-One with Industry Mentors.
- Timely Doubt Resolution.
- Support Available all days, 24 hours.
- IIIT Bangalore & LJMU Alumni Status.
- Build your GitHub profile.
- Accredited by the Institute of Analytics UK (IOA)
Program Outcome
Top Skills You Will Learn
Statistics, Predictive Analytics using Python, Machine Learning, Data Visualization, Big Data Analytics, etc.
Master's Degree from LJMU
With a heritage that stretches back to 1823, Liverpool John Moores University, UK, is now one of the largest and most well-established universities in the UK. It has been ranked in the Top 100 World Young Universities & Top 50 in the UK by Student Satisfaction.
- Complete all courses to achieve this prestigious M.Sc. Degree from LJMU, UK, to jump-start your career in Data Science.
- Get access to the complete digital library of LJMU to research & write your dissertation.
- Earn a Master's degree, which is recognized by WES, at 1/10th the cost of an offline program.
Curriculum
Best-in-class content by leading faculty and industry leaders in the form of videos, cases and projects, assignments and live sessions.
Pre-Program Preparatory Content
- Data Analysis in Excel
- Analytics Problem Solving
Data Toolkit
- Introduction to Python
- Programming in Python
- Python for Data Science
- Data Visualization in Python
- Exploratory Data Analysis
- Credit EDA Case Study
- Inferential Statistics
- Hypothesis Testing
- Data Analysis using SQL
- Advanced SQL & Best Practices
- SQL Assignment: RSVP Movies
Machine Learning
- Linear Regression
- Linear Regression Assignment
- Logistic Regression
- Classification using Decision Trees
- Unsupervised learning: Clustering
- Basics of NLP and Text Mining
- Business Problem Solving
- Case Study: Lead Scoring
Specialization - Deep Learning
- Bagging & Random Forest
- Boosting
- Model Selection & General ML Techniques
- Principal Component Analysis
- Advanced Regression
- Advanced ML case Stuy
- Time Series Analysis
- Introduction to Neural Networks and ANN
- Neural Network Assignment
- Convolutional Neural Networks
- Convolutional Neural Networks -Industry Applications
- Object Detection & Image Segmentation (Optional)
- Recurrent Neural Networks
- Gesture Recognition
- Capstone Project
Specialization - Business Intelligence/Data Analytics
- Visualisation using Tableau
- Advanced Excel
- Visualisation using PowerBI
- Structured Problem Solving using Frameworks
- Data Storytelling
- Airbnb Case Study
- Data Modelling
- Advanced SQL and Best Practices
- Introduction to Big Data and Cloud
- Analytics using Spark
- Big Data Case Study
- Data Structures - Sets, Dictionaries, Stacks, Queues
- Searching and Sorting
- Algorithm Analysis + Recursion
- Advanced Database Programming using Pandas
- Python & SQL Lab
- Capstone Project
Specialization - Data Engineering
- Data Management and Relational Database Modelling
- Introduction to Big Data(Optional)
- Introduction to Cloud and AWS Setup
- Introduction to Hadoop and MapReduce Programming
- Assignment (Optional)
- NoSQL Databases and Apache HBase and NoSQL Databases and MongoDB(Optional)
- Data Warehousing (Optional)
- Data Ingestion with Apache Sqoop and Apache Flume
- Map reduce Programming Assignment
- Hive & Querying
- Assignment (Optional)
- Amazon Redshift
- Introduction to Apache Spark
- Project: ETL Data Pipeline
- AWS Cloud Infrastructure (Optional)
- Optimising Spark for Large Scale Data Processing
- Apache Flink(Optional)
- Real-Time Data Streaming with Apache Kafka
- Real-Time Data Processing using Spark Streaming
- Assignment (Optional)
- Building Automated Data Pipelines with Airflow
- Analytics using PySpark
- Project: Real-Time data processing
- Capstone Project
Research Methodologies
- Introduction to Research and Research Process
- Research Design
- Literature Reviewing
- Research Project Management
- Report Writing and Presentation Skills
- Scientific Ethics
Master's Dissertation
- Investigate dietary patterns and metabolite fingerprints of takeaway (fast) food consumers using PCA and Clustering methods
- Investigate a diagnosis of eye diseases using imaging ophthalmic data
- Structure medical images with information geometry
- Using a Social media feed to place tweets regarding natural disasters on a map
- Preventing credit card fraud through pattern recognition
- Developing a recommender system for a Media giant
- Risk modelling for Financial activities and Investment Banking
Admissions
Ideal Students
Who Is This Program For?
Any specialization can be chosen regardless of background. The program caters to Engineers, Marketing & Sales Professionals, Freshers, Data Professionals, Domain Experts, Software & IT Professionals
Career Opportunities
Advance Your Career In
- Data Analyst,
- Data Scientist,
- Product Analyst,
- Machine Learning Engineer,
- Business Analyst