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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.
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Data Science With R
Python for Data Science
AI & Deep Learning
Big Data Hadoop & Spark
Tableau Desktop 10
Data Science with SAS
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.
No. You can sign up for our Data Science Master’s programs without any prerequisites.
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Develop high-quality applications, apart from designing and implementing scalable code.
Investigate reported problems in the quality of data and come up with solutions to fix them.
Deploy models in SageMaker and use Lambda functions and API Gateway to integrate Machine Learning models in web applications.
Understand the data, data cleansing, data transformation, analyze outcomes, and present the result in the form of reports and dashboards.
Use advanced statistical techniques and tools to understand operating behavior and create algorithms with advanced prescriptive and descriptive methods.
Design and develop various Machine Learning models to help in deriving intelligence for the business products.
Data Science with R
Python for Data Science
Data Science with R
42 Hours 15 ModulePreview
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
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
Python for Data Science
39 Hours 14 ModulePreview
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
32 Hours 9 ModulePreview
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)
AI & Deep Learning
32 Hours 13 ModulePreview
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
Big Data Hadoop and Spark
60 Hours 33 ModulePreview
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
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
Tableau Desktop 10
30 Hours 13 ModulePreview
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
Data Science with SAS
22 Hours 17 ModulePreview
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
24 Hours 23 ModulePreview
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
24 Hours 9 ModulePreview
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
16 Hours 13 ModulePreview
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
Free Career Counselling
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The application is free and takes just 10-15 minutes to complete.
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
Working with NumPy
Get hands-on learning to successfully work with the NumPy library to solve various Python problems. Also, the project requires you to efficiently create 2D arrays and perform simple arithmetic operations on the two arrays.
Visualizing and Analyzing the Customer Churn dataset using Python
Analyze data by building aesthetic graphs to make better sense of it. Also, work with the bar plots and their applications which also includes histogram graphs for data analysis, and box plots and outliers in them.
Deal with Financial Data
The project is included to help learners with hands-on experience in financial data analysis. Analyze global sales numbers and profit data by developing an interactive map, and use map styles and layers for enhanced visualization.
Work with Agricultural Data
As a part of the project, learners will have to display district-wise data to successfully build an interactive treemap with state labels. Also, the districts must be displayed on hovering over the respective states.
Analyzing the Naming Trends Using Python
This project involves the analysis of naming trends using Python. Also, use the Python programming language to understand the applications of data manipulation, extract files with data, and concepts of data visualization.
Performing Analysis on Customer Churn Dataset
As an important part of the project, learners will be required to analyze employment reliability in the Telecom industry, and further work on real-time analysis of data with multiple labels, data visualization for reliability factor.
This movie recommendation project will allow you to use Apache Spark MLlib component and statistical analysis to successfully create collaborative filtering, and also regression, clustering, and dimensionality reductions.
The project gives a practical exposure to the applications of Python in Web Scraping. Also get a chance to work on various Web Scraping libraries, Beautiful Soup, Navigable String, parser, searching tree deployment, and more.
Twitter Sentiment Analysis
The project lets you use and successfully apply Twitter sentiment analysis to find the reaction of people concerning the demonetization move by India by analyzing their tweets. Also, download the tweets and load them into Pig storage.
Market Basket Analysis
The project requires learners to identify trends in the company’s inventory dataset to increase sales numbers. Moreover, they also need to implement data extraction, data manipulation, etc. for Market Basket Analysis.
Credit Card Fraud Detection
The project lets you perform data analysis on a banking dataset for several parameters. Also, use V4 predictor analysis, v7 predictor analysis, and data visualization techniques to calculate the probability of fraud activities.
Prediction of Loan Approval
The project involves using banking datasets to analyze, clean, process, and visualize the data. Once the data analysis is completed, the project also lets you learn to implement Naive Bayes and Principal Component Analysis.
Analyzing the Trends of COVID-19 With Python
Use the Pandas module to collect data from various files. Also, use Plotly to build interactive visualizations. The project also requires you to use the Prophet library from Facebook to efficiently develop time-series models.
Analyzing IPL T20 Cricket
This interesting project has been included to help you analyze an entire IPL T20 cricket match and get some details of the match. As a next step, load the IPL dataset into HDFS and analyze the data using Apache Pig or Hive.
Data Scientist | Delhi
After working in non-tech, I wanted to shift to Data Science but it seemed difficult. Thanks to Intellipaat’s rich training, I am a successful Data Scientist. Post the training, I believe Data Science is for non-tech too.
Data Scientist | India
Becoming a Data Scientist from a Customer Service Agent has been possible only due to Intellipaat and the expert guidance by its trainers. Even after working for 10 years in customer care, I am a Data scientist today.
Customer Service Agent
Digital Marketing Analyst | India
Post the training, I was able to shift from a Data Steward Specialist to an Analyst with a 35% salary hike. I gained a deep understanding of technical skills, especially in analytics. I can’t thank you enough, Intellipaat.
Data Steward Specialist
Digital Marketing Analyst
Senior Technical Associate | India
I got promoted with a 16% hike after completing this course from Intellipaat. The training taught me new skills and how to implement the same in my current role. Today, I am a Sr. Technical Associate. Thanks, Intellipaat.
Senior Technical Associate
D Rajesh Sahoo
Machine Learning Engineer | India
In search of a better paying and growth-oriented job, I decided to make the transition to the IT industry. Intellipaat made the transition smooth with its round the clock support team, excellent curriculum, and efficient trainers.
B.Tech - Civil Engineering
Machine Learning Engineer
Data Analyst | India
I successfully transitioned from an Electrical Engineer to a Data Scientist in a few months after enrolling in this training from Intellipaat. I received great learning support and rich study material. Thank you Intellipaat.
B.Tech - Electrical, EC Engineering
Data Scientist | Hyderabad
Today I am a certified Data Scientist and this has happened post I enrolled in this program. It covers all the necessary concepts and techniques in lucid language. I am thankful to Intellipaat for giving me this career growth.
Aircraft Maintenance Engineer
Big Data Developer | Dallas
The training helped me make a career transition from Computer Technical Specialist to Big Data developer with a 60% hike. The online sessions are engaging like any physical class and the trainers make the sessions interactive.
Computer Technical Specialist
Big Data Developer
Data Scientist | Bengaluru
Intellipaat offered me the best learning experience and today I have successfully transitioned from a Manager in Edutech to a Data Scientist. The comprehensive curriculum and the career guidance sessions helped me a lot.
Manager Analytics & Data Science
Data Engineer | Pune
Program Manager | Pune
Post this program, I was able to switch to the role of a Program Manager from a Microsoft Dynamics consultant. Gaining knowledge in the latest technologies as per industry standards, helped me in this career transition.
Microsoft Dynamics Consultant
Data Science Intern | Gurugram
I was able to achieve my goal of becoming a Data Science professional from being a lecturer due to Intellipaat. It offered a platform to learn data science from the best trainers. The real-life projects were the best part.
Data Science Intern
55% Average Salary Hike
$1,20,000 Highest Salary
12000+ Career Transitions
300+ Hiring Partners
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:
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 Oriented SessionsThroughout 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 & LinkedIn Profile BuildingAfter 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
Mock Interview PreparationAfter 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.
1 on 1 Career Mentoring SessionsAfter 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.
Assured InterviewsAfter 80% of the course completion
Assured Interviews upon submission of projects and assignments. Get interviewed by our 500+ hiring partners.
Exclusive access to Intellipaat Job portalAfter 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.
He has over 7+ years of experience and holds an M.Tech in Data Science and Engg. from BITS, Pilani. Certified in Scaled Agile and SAS, Nishkam specializes in Advance Analytics & Machine Learning along with a vast experience as a Data Science mentor.
He carries over 15 years of expertise in handling various analytics projects, using several types of ML algorithms in multiple business domains. He also comes with extensive knowledge in SAS, SQL, R, Python and is proficient in Big Data Environment.
Self Paced Training
Online Classroom Preferred
The classes on each module were conducted step-by-step. All my queries were addressed very clearly. I suggest this is the best Data Science Master's programs. The Data Science projects were really worth working on.
I am glad that I got an opportunity to get trained from Intellipaat. The entire course was highly contented. The trainers were very patient to answers my questions. Overall, it is the best online Data Science Master's course ever.
Great teaching team, All trainers and support team were very helpful and easily reachable. The course content of this program covers all the topics, from basic to advanced modules.
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.