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Master's in Data Science in UK

5 ( 9,758 ) Ratings

Acquiring a Master’s in Data Science in the UK is easy with Intellipaat’s carefully structured course curriculum. It includes concepts such as SAS, SQL, MongoDB, etc. and industry-relevant projects for practical mastery of the subject matter. Our SMEs are well-experienced in the field and will help you 24/7 throughout the MS in Data Science course.

Ranked #1 Data Science Program by India TV

In Collaboration with

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10+
Courses
30+
Projects
232
Hours
  • Online Classroom Training
    • Course 1
      Data Science With R

    • Course 2
      Python for Data Science

    • Course 3
      Machine Learning

    • Course 4
      AI & Deep Learning

    • Course 5
      Big Data Hadoop & Spark

    • Course 6
      Tableau Desktop 10

  • Self Paced Training
    • Course 7
      Data Science with SAS

    • Course 8
      Advanced Excel

    • Course 9
      MongoDB

    • Course 10
      MS-SQL

    • Get Master's Certificate

Key Highlights

232 Hrs Instructor Led Training
104 Hrs Self-paced Videos
253 Hrs Project & Exercises
Certification
Job Assistance
Flexible Schedule
Lifetime Free Upgrade
Mentor Support
Intellipaat-Key-Features
Intellipaat-Key-Features
Intellipaat-Key-Features

MS in Data Science in the UKOverview

Our instructors will try their best to help you understand all the concepts of Data Science in detail. You will be learning statistical computing, Deep Learning in AI, parsing machine-generated data, real-time analytics, and many more.

What will you be taught in this Master's program in Data Science in the UK?

  • Data Scientist roles and responsibilities
  • Linear and logistic regression
  • Deep Learning models in AI
  • Real-time analytics using Spark
  • MapReduce
  • Deployment of recommender systems
  • SAS Advanced Analytics
  • R programming language
  • HDFS
  • NoSQL data
  • Clustering for prediction and analysis

No. You can sign up for our Data Science Master’s programs without any prerequisites.

  • Machine Learning experts
  • Information Architects
  • Data Scientists
  • Project Managers
  • Business Intelligence experts
  • Software developers
  • Data Science Architect aspirants
  • In the UK, there are 3,000+ jobs listed for Data Scientists – LinkedIn
  • By 2025, the global Big Data market will reach US$122 billion in revenue – Frost & Sullivan
  • On average, £53,793 is the annual salary of Data Scientists in the UK – Indeed
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Talk To Us

We are happy to help you 24/7

Who can apply for the course?

  • Professionals who aspire to be a Data Scientist in top organizations
  • Data Scientists who have a keen interest in upgrading their skills
  • Information Architects
  • Machine Learning professionals
  • Business Intelligence professionals
  • Software Developers
  • Project Managers
Who can aaply

What roles does a Data Scientist play?

Data Scientist

Develop high-quality applications, apart from designing and implementing scalable code.

Analytics and Insights Analyst

Investigate reported problems in the quality of data and come up with solutions to fix them.

AI & ML Engineer

Deploy models in SageMaker and use Lambda functions and API Gateway to integrate Machine Learning models in web applications.

Data Engineer & Data Analyst

Understand the data, data cleansing, data transformation, analyze outcomes, and present the result in the form of reports and dashboards.

Junior Data Scientist

Use advanced statistical techniques and tools to understand operating behavior and create algorithms with advanced prescriptive and descriptive methods.

Applied Scientist

Design and develop various Machine Learning models to help in deriving intelligence for the business products.

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Skills to Master

Data Science with R

Python for Data Science

Machine Learning

Artificial Intelligence

Hadoop

Spark

Tableau

Data Blending

SAS

Advanced Excel

MongoDB

T-SQL

Database objects

MS-SQL

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Tools to Master

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Master's in Data Science Course Content

Live Course Self Paced
Live Course Self Paced

Module 01 – Introduction to Data Science with R
Module 02 – Data Exploration
Module 03 – Data Manipulation
Module 04 – Data Visualization
Module 05 – Introduction to Statistics
Module 06 – Machine Learning
Module 07 – Logistic Regression
Module 08 – Decision Trees and Random Forest
Module 09 – Unsupervised Learning
Module 10 – Association Rule Mining and Recommendation Engines

Self-paced Course Content

Module 11 – Introduction to Artificial Intelligence
Module 12 – Time Series Analysis
Module 13 – Support Vector Machine (SVM)
Module 14 – Naïve Bayes
Module 15 – Text Mining

Tools covered

Tools Covered

Module 01 – Introduction to Data Science using Python
Module 02 – Python basic constructs
Module 03 – Maths for DS-Statistics & Probability
Module 04 – OOPs in Python (Self paced)
Module 05 – NumPy for mathematical computing
Module 06 – SciPy for scientific computing
Module 07 – Data manipulation
Module 08 – Data visualization with Matplotlib
Module 09 – Machine Learning using Python
Module 10 – Supervised learning
Module 11 – Unsupervised Learning
Module 12 – Python integration with Spark (Self paced)
Module 13 – Dimensionality Reduction
Module 14 – Time Series Forecasting

Tools covered

Tools Covered Tools Covered Tools Covered Tools Covered

Module 01 – Introduction to Machine Learning
Module 02 – Supervised Learning and Linear Regression
Module 03 – Classification and Logistic Regression
Module 04 – Decision Tree and Random Forest
Module 05 – Naïve Bayes and Support Vector Machine (self-paced)
Module 06 – Unsupervised Learning
Module 07 – Natural Language Processing and Text Mining (self-paced)
Module 08 – Introduction to Deep Learning
Module 09 – Time Series Analysis (self-paced)

Tools covered

Tools Covered Tools Covered

Module 01 – Introduction to Deep Learning and Neural Networks
Module 02 – Multi-layered Neural Networks
Module 03 – Artificial Neural Networks and Various Methods
Module 04 – Deep Learning Libraries
Module 05 – Keras API
Module 06 – TFLearn API for TensorFlow
Module 07 – Dnns (deep neural networks)
Module 08 – Cnns (convolutional neural networks)
Module 09 – Rnns (recurrent neural networks)
Module 10 – Gpu in deep learning
Module 11 – Autoencoders and restricted boltzmann machine (rbm)
Module 12 – Deep learning applications
Module 13 – Chatbots

Tools covered

Tools Covered

Module 01 – Hadoop Installation and Setup
Module 02 – Introduction to Big Data Hadoop and Understanding HDFS and MapReduce
Module 03 – Deep Dive in MapReduce
Module 04 – Introduction to Hive
Module 05 – Advanced Hive and Impala
Module 06 – Introduction to Pig
Module 07 – Flume, Sqoop and HBase
Module 08 – Writing Spark Applications Using Scala
Module 09 – Use Case Bobsrockets Package
Module 10 – Introduction to Spark
Module 11 – Spark Basics
Module 12 – Working with RDDs in Spark
Module 13 – Aggregating Data with Pair RDDs
Module 14 – Writing and Deploying Spark Applications
Module 15 – Project Solution Discussion and Cloudera Certification Tips and Tricks
Module 16 – Parallel Processing
Module 17 – Spark RDD Persistence
Module 18 – Spark MLlib
Module 19 – Integrating Apache Flume and Apache Kafka
Module 20 – Spark Streaming
Module 21 – Improving Spark Performance
Module 22 – Spark SQL and Data Frames
Module 23 – Scheduling/Partitioning

Following topics will be available only in self-paced mode:

Module 24 – Hadoop Administration – Multi-node Cluster Setup Using Amazon EC2
Module 25 – Hadoop Administration – Cluster Configuration
Module 26 – Hadoop Administration – Maintenance, Monitoring and Troubleshooting
Module 27 – ETL Connectivity with Hadoop Ecosystem (Self-Paced)
Module 28 – Hadoop Application Testing
Module 29 – Roles and Responsibilities of Hadoop Testing Professional
Module 30 – Framework Called MRUnit for Testing of MapReduce Programs
Module 31 – Unit Testing
Module 32 – Test Execution
Module 33 – Test Plan Strategy and Writing Test Cases for Testing Hadoop Application

Tools covered

Tools Covered Tools Covered Tools Covered Tools Covered Tools Covered Tools Covered Tools Covered Tools Covered

Module 01 – Introduction to Data Visualization and The Power of Tableau
Module 02 – Architecture of Tableau
Module 03 – Charts and Graphs
Module 04 – Working with Metadata and Data Blending
Module 05 – Advanced Data Manipulations
Module 06 – Working with Filters
Module 07 – Organizing Data and Visual Analytics
Module 08 – Working with Mapping
Module 09 – Working with Calculations and Expressions
Module 10 – Working with Parameters
Module 11 – Dashboards and Stories
Module 12 – Tableau Prep
Module 13 – Integration of Tableau with R

Tools covered

Tools Covered

Module 01 – Introduction to SAS
Module 02 – SAS Enterprise Guide
Module 03 – SAS Operators and Functions
Module 04 – Compilation and Execution
Module 05 – Using Variables
Module 06 – Creation and Compilation of SAS Data Sets
Module 07 – SAS Procedures
Module 08 – Input Statement and Formatted Input
Module 09 – SAS Format
Module 10 – SAS Graphs
Module 11 – Interactive Data Processing
Module 12 – Data Transformation Function
Module 13 – Output Delivery System (ODS)
Module 14 – SAS Macros
Module 15 – PROC SQL
Module 16 – Advanced Base SAS
Module 17 – Summarization Reports

Tools covered

Tools Covered

Module 01 – Entering Data
Module 02 – Referencing in Formulas
Module 03 – Name Range
Module 04 – Understanding Logical Functions
Module 05 – Getting started with Conditional Formatting
Module 06 – Advanced-level Validation
Module 07 – Important Formulas in Excel
Module 08 – Working with Dynamic table
Module 09 – Data Sorting
Module 10 – Data Filtering
Module 11 – Chart Creation
Module 12 – Various Techniques of Charting
Module 13 – Pivot Tables in Excel
Module 14 – Ensuring Data and File Security
Module 15 – Getting started with VBA Macros
Module 16 – Ranges and Worksheet in VBA
Module 17 – IF condition
Module 18 – Loops in VBA
Module 19 – Debugging in VBA
Module 20 – Dashboard Visualization
Module 21 – Principles of Charting
Module 22 – Getting started with Pivot Tables
Module 23 – Statistics with Excel

Tools covered

Tools Covered

Module 01 – Introduction to NoSQL and MongoDB
Module 02 – MongoDB Installation
Module 03 – Importance of NoSQL
Module 04 – CRUD Operations
Module 05 – Data Modeling and Schema Design
Module 06 – Data Management and Administration
Module 07 – Data Indexing and Aggregation
Module 08 – MongoDB Security
Module 09 – Working with Unstructured Data

Tools covered

Tools Covered

Module 01 – Introduction to SQL
Module 02 – Database Normalization and Entity Relationship Model
Module 03 – SQL Operators
Module 04 – Working with SQL: Join, Tables, and Variables
Module 05 – Deep Dive into SQL Functions
Module 06 – Working with Subqueries
Module 07 – SQL Views, Functions, and Stored Procedures
Module 08 – Deep Dive into User-defined Functions
Module 09 – SQL Optimization and Performance
Module 10 – Advanced Topics
Module 11 – Managing Database Concurrency
Module 12 – Programming Databases Using Transact-SQL
Module 13 – Microsoft Courses: Study Material

Tools covered

Tools Covered
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Free Career Counselling

We are happy to help you 24/7

Interested in This Program? Secure your spot now.

The application is free and takes just 10-15 minutes to complete.

Project Work

Projects will be a part of your Data Science Architect Master’s program to consolidate your learning. It will ensure that you have real-world experience in Data Science.

  • Practice 100+ Essential Tools

  • Designed by Industry Experts

  • Get Real-world Experience

  • Career Transition

    55% Average Salary Hike

    $1,20,000 Highest Salary

    12000+ Career Transitions

    300+ Hiring Partners

    Career Transition Handbook

    Master's in Data Science in the UK Certificates

    This Data Scientist master’s program in UK is created and delivered in association with IBM to help you land top jobs in the world’s best organizations. The training includes real-world projects and case studies after the completion of which, you will receive industry-recognized certifications from IBM and Intellipaat.

    This training program aims to prepare you for the following certification exams:

    • Spark component of Cloudera Spark and Hadoop Developer Certification (CCA175)
    • Tableau Desktop Qualified Associate Exam
    • SAS Certified Base Programmer Exam
    • C100DEV: MongoDB Certified Developer Associate Exam
    • Microsoft 70-761 SQL Server Certification Exam
    • Microsoft 70-762 SQL Server Certification Exam
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    Industry Trends

    Peer Learning

    Via Intellipaat PeerChat, you can interact with your peers across all classes and batches and even our alumni. Collaborate on projects, share job referrals & interview experiences, compete with the best, make new friends – the possibilities are endless and our community has something for everyone!

    Career Services

    Career Services
    Resume

    Career Oriented Sessions

    Throughout the course

    Over 20+ live interactive sessions with an industry expert to gain knowledge and experience on how to build skills that are expected by hiring managers. These will be guided sessions and that will help you stay on track with your up skilling objective.

    Resume

    Resume & LinkedIn Profile Building

    After 70% of course completion

    Get assistance in creating a world-class resume & Linkedin Profile from our career services team and learn how to grab the attention of the hiring manager at profile shortlisting stage

    Resume

    Mock Interview Preparation

    After 80% of the course completion.

    Students will go through a number of mock interviews conducted by technical experts who will then offer tips and constructive feedback for reference and improvement.

    Resume

    1 on 1 Career Mentoring Sessions

    After 90% of the course completion

    Attend one-on-one sessions with career mentors on how to develop the required skills and attitude to secure a dream job based on a learners’ educational background, past experience, and future career aspirations.

    Resume

    Assured Interviews

    After 80% of the course completion

    Assured Interviews upon submission of projects and assignments. Get interviewed by our 500+ hiring partners.

    Resume

    Exclusive access to Intellipaat Job portal

    After 80% of the course completion

    Exclusive access to our dedicated job portal and apply for jobs. More than 400 hiring partners’ including top start-ups and product companies hiring our learners. Mentored support on job search and relevant jobs for your career growth.

    Meet Your Mentors

    Our Alumni Work At

    Master Client Desktop Master Client Mobile

    Course Fees

    Self Paced Training

    • 104 Hrs e-learning videos
    • Flexible Schedule
    • Lifetime Free Upgrade

    $702

    Online Classroom Preferred

    • Everything in Self-Paced Learning, plus
    • of instructor-led online training
    • One to one doubt resolution sessions
    • Attended as many batches as you want for Lifetime
    • Job Assistance
    26 Sep

    SAT - SUN

    08:00 PM TO 11:00 PM IST (GMT +5:30)

    02 Oct

    SAT - SUN

    08:00 PM TO 11:00 PM IST (GMT +5:30)

    05 Oct

    TUE - FRI

    07:00 AM TO 09:00 AM IST (GMT +5:30)

    12 Oct

    TUE - FRI

    07:00 AM TO 09:00 AM IST (GMT +5:30)

    $ 1499 $1,099 10% OFF Expires in

    Corporate Training

    • Customized Learning
    • Enterprise grade learning management system (LMS)
    • 24x7 Support
    • Enterprise grade reporting

    Contact Us

    MS in Data Science in the UK Reviews

    5 ( 9,758 )

    Data Science Master’s Program in the UK FAQ

    How is Intellipaat’s MS in Data Science in the UK different from its individual courses?

    Intellipaat’s Master’s program in Data Science in the UK is specially designed by industry experts, ensuring that you become a Data Science expert through a holistic learning method. Individual courses, on the other hand, are mainly for achieving specializations in particular technologies. If you want to master the whole Data Science domain, then this program is for you.

    Intellipaat has been serving Data Science aspirants everywhere around the UK. You can learn Data Science from anywhere, regardless of your location—be it England, Northern Ireland, Scotland, Wales, or any other place in the UK.

    At Intellipaat, you can enroll in either the instructor-led online training or self-paced training. Apart from this, Intellipaat also offers corporate training for organizations to upskill their workforce. All trainers at Intellipaat have 12+ years of relevant industry experience, and they have been actively working as consultants in the same domain, which has made them subject matter experts. Go through the sample videos to check the quality of our trainers.

    Intellipaat is offering 24/7 query resolution, and you can raise a ticket with the dedicated support team at any time. You can avail of email support for all your queries. If your query does not get resolved through email, we can also arrange one-on-one sessions with our support team. However, 1:1 session support is provided for a period of 6 months from the start date of your course.

    Intellipaat is offering you the most updated, relevant, and high-value real-world projects as part of the training program. This way, you can implement the learning that you have acquired in real-world industry setup. All training comes with multiple projects that thoroughly test your skills, learning, and practical knowledge, making you completely industry-ready.

    You will work on highly exciting projects in the domains of high technology, ecommerce, marketing, sales, networking, banking, insurance, etc. After completing the projects successfully, your skills will be equal to 6 months of rigorous industry experience.

    Intellipaat actively provides placement assistance to all learners who have successfully completed the training. For this, we are exclusively tied-up with over 80 top MNCs from around the world. This way, you can be placed in outstanding organizations such as Sony, Ericsson, TCS, Mu Sigma, Standard Chartered, Cognizant, and Cisco, among other equally great enterprises. We also help you with the job interview and résumé preparation as well.

    You can definitely make the switch from self-paced training to online instructor-led training by simply paying the extra amount. You can join the very next batch, which will be duly notified to you.

    Once you complete Intellipaat’s training program, working on real-world projects, quizzes, and assignments and scoring at least 60 percent marks in the qualifying exam, you will be awarded Intellipaat’s course completion certificate. This certificate is very well recognized in Intellipaat-affiliated organizations, including over 80 top MNCs from around the world and some of the Fortune 500companies.

    Apparently, no. Our job assistance program is aimed at helping you land in your dream job. It offers a potential opportunity for you to explore various competitive openings in the corporate world and find a well-paid job, matching your profile. The final decision on hiring will always be based on your performance in the interview and the requirements of the recruiter.

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