Your cart is currently empty.
Acquiring a Master’s in Data Science in the UK is easy with Intellipaat’s carefully structured course curriculum. It includes concepts such as 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.
Course 1
Python for Data Science
Course 2
Machine Learning
Course 3
AI and Deep Learning
Course 4
Power BI
Course 5
Data Science With R
Course 6
Advanced Excel
Course 7
MongoDB
Course 8
MS-SQL
Read More
No. You can sign up for our Data Science Master’s programs without any prerequisites.
Talk To Us
We are happy to help you 24/7
Develops high-quality applications, apart from designing and implementing scalable code.
Investigates reported problems in the quality of data and comes up with solutions to fix them.
Deploys models in SageMaker and use Lambda functions and API Gateway to integrate machine learning models in web applications.
Understands the data, data cleansing, data transformation, analyzes outcomes, and presents the result in the form of reports and dashboards.
Uses advanced statistical techniques and tools to understand operating behavior and create algorithms with advanced prescriptive and descriptive methods.
Designs and develops various machine learning models to help in deriving intelligence for business products.
Data Science with R
Python for Data Science
Machine Learning
Artificial Intelligence
Spark
Power BI
Data Blending
Advanced Excel
MongoDB
T-SQL
Database objects
MS-SQL
39 Hours 14 Module
PreviewModule 01 – Introduction to Data Science using Python
Module 02 – Python basic constructs
Module 03 – Maths for DS-Statistics and Probability
Module 04 – OOPs in Python (Self-paced)
Module 05 – NumPy for mathematical computing
Module 06 – SciPy for scientific computing (Self-paced)
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 (Self-paced)
Module 14 – Time Series Forecasting (Self-paced)
32 Hours 9 Module
PreviewModule 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)
32 Hours 13 Module
PreviewModule 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
24 Hours 9 Module
PreviewModule 01 – Introduction to Power BI
Module 02 – Data Extraction
Module 03 – Data Transformation – Shaping and Combining Data
Module 04 – Data Modelling and DAX
Module 05 – Data Visualization with analytics
Module 06 – Power BI Service (Cloud), Q&A, and Data Insights
Module 07 – Power BI Settings, Administration & Direct Connectivity
Module 08 – Embedded Power BI with API & Power BI
Module 09 – Power BI Advance & Power BI Premium
42 Hours 15 Module
PreviewModule 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
24 Hours 23 Module
PreviewModule 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 Module
PreviewModule 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 Module
PreviewModule 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
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
55% Average Salary Hike
$1,20,000 Highest Salary
12000+ Career Transitions
300+ Hiring Partners
Career Transition Handbook
*Past record is no guarantee of future job prospects
This Data Scientist master’s program in the 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:
As per the study, Data Scientist is the best career in the 21st century
Harvard Business ReviewThe Big Data market size is predicted to go up to US$229.4 billion by 2025 worldwide
Markets and MarketsThe average salary of a Data Scientist is around US$120,160 per year
IndeedVia 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!
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 guided sessions will help you stay on track with your up-skilling objective.
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 the profile shortlisting stage
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.
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 learner’s educational background, past experience, and future career aspirations.
Assured Interviews upon submission of projects and assignments. Get interviewed by our 500+ hiring partners.
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.
$702
Contact Us
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 in 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.
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 provides placement assistance to all learners who have successfully completed the training and moved to the placement pool after clearing the PRT( Placement Readiness Test) More than 500+ top MNC’s and startups hire Intellipaat learners. Our Alumni works with Google, Microsoft, Amazon, Sony, Ericsson, TCS, Mu Sigma, etc.
Learners are required to submit the mandatory assignments, project work and quizzes for receiving the Intellipaat verified certificates.
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.