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A full-time Master’s degree from one of the UK's top engineering departments The University of Strathclyde is the only university to be awarded the prestigious "University of the Year"
title twice by Times Higher Education

 

Programme Overview

A unique opportunity for non-programmers and three-year degree holders to transform into Machine Learning and Deep Learning Specialists.


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A preparatory course covering Maths, Programming and Research Skills

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3 Semesters of world-class education in Scotland

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MSc Project (Industrially Engaged) giving real-world and global experience

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Eligibility to apply for Graduate Route to work in the UK on completion of the programme

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The University is a five-star QS-rated university. Founded in 1796, the University of Strathclyde is particularly renowned for engineering. The Electronic & Electrical Engineering department that offers this MSc programme is ranked Number 1 in Scotland, and Number 5 in the UK by the Independent Complete University Guide 2021 and by The Times/Sunday Times Good University Guide 2021.

The University of Strathclyde is the only university in the UK to be awarded the prestigious "University of the Year" title twice by Times Higher Education.

Situated in the world’s friendliest city Glasgow (Voted by Rough Guide), the university offers a first-class working and learning environment for its students and staff.

  • 200+ Years of academic excellence
  • 100+ Countries - 23,000 students
  • £1 Campus investment
  • 8th Best city, Glasgow, in the world

A great way to launch your career


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Excellence

A world-class engineering curriculum taught by expert faculty from Strathclyde and INSOFE


Focus on programming projects, bootcamps and applications

Opportunities

Exposure to two countries, cultures



Kick start graduate careers



Comfortable Pace

The MSc in Machine Learning and Deep Learning course is designed to help you start comfortably in a familiar environment. You learn all the foundations in India.

You will then progress to the University of Strathclyde in Scotland to continue your studies. As you are thoroughly prepared in this subject area already, you are well placed to succeed.

By the time you complete the entire 180 credit Master’s degree, you gain expertise in AI architectures, algorithms and implementation of machine learning models with applications in a diverse range of areas.

Students from any branch of Engineering
Or
Students from three-year degree programmes in Physics, Mathematics, Statistics, Computer Science
are eligible to apply

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  • india INSOFE


    Entrance Examination, Document Verification, followed by Admission into INSOFE and lateral admission into the MSc programme of the University of Strathclyde.

    Students pursuing the final year in a three-year and four-year degree programmes are also eligible. Postgraduate Preparatory programme to be done with INSOFE.


    Postgraduate Preparatory Programme: 200 Hours


    To be done in India - Live, Online


    Foundational Mathematics
    • Differentiation, Integration, Differential Equations, Multiple Integrals
    • Fourier and Laplace Transforms
    • Linear Algebra
    • Numerical Computation

    Foundational Computing Skills
    • Data Structure and Algorithms
    • Python Programming

    Data Analytics Foundations
    • Foundations of Probability and Statistics
    • Linear Regression
    • Logistic Regression

    Research Methods
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    After successfully completing your postgraduate preparatory programme at INSOFE, you will receive entry to the MSc in Machine Learning and Deep Learning at University of Strathclyde.

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    Semester 1 & 2: 120 Credits

    Compulsory classes

    • Autonomous Sensing, Reasoning & Deep Learning
    • Digital Signal Processing Principles
    • Big Data Technologies
    • Machine Learning for Data Analytics
    • Assignment & Professional Studies

    Elective classes (students must choose 1)

    • Image & Video Processing
    • Embedded Systems Design
    • Advanced Topics in Software Engineering
    • Information Access & Mining

    Semester 3: 60 Credits

    MSc Project (Industrially engaged)

    MSc Project (Industrially engaged) students will get the opportunity to complete the project through our competitive MSc industrial internships.

    Students will address real-world engineering challenges the partners are facing, with site visits, access, and provision of relevant technical data and/or facilities provided.

Career Opportunities


At the end of the programme, you will have gained mastery in


  • Python and R based ML model development and scaling
  • Spark/Hadoop powered Big Data deployments
  • Thorough foundations in statistics, probability, AI and machine learning and your choice of elective

"AI specialists are the most in-demand job anywhere in the world" - LinkedIn


  • By making you an AI Specialist, the MSc programme of the University of Strathclyde will prepare you for the most in-demand jobs.
  • Now, add to that the changed UK visa policies that provide working opportunities for eligible students.

With such a thorough and powerful background, you are perfectly prepared for the “AI Specialist” positions across a wide range of industries.


You will be armed with a powerful degree, excellent curriculum, industrially engaged MSc project and eligibility to apply for the Graduate Route visa.




The tuition fee for 20/21 is £20,900.
Fees are revised annually and may increase in subsequent years of study.

Financing Partners

AXIS_bank    HDFC   Scholars

banks    digitalindia



If you are serious about launching a successful engineering career, take the first step now.

Information Session

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“The best way to learn about INSOFE programs is to attend the Live & Free information sessions. Our senior-most advisors and faculty explain the programs in simple and clear terms and answer your questions.

If you already know a program to study, you can call us or have us call you”

Start building a powerful career now

  • A first or good second-class degree, or equivalent qualification, in electronic or electrical engineering, or computer science, from a recognised academic institution.
  • Highly-qualified candidates from other relevant engineering or science-related disciplines may be considered.
  • Students must qualify for INSOFE’s entrance examination - INEX.

With a real-time verification of the student data, INSOFE believes in rewarding students who demonstrate exceptional merit performance during the program. Hence it is important for the students to get recognized by employers and the social community exhibiting their technical understanding of various Data Science techniques/algorithms gained in the program.

INSOFE holds the right to validate the badge and allocate them to the deserved candidates at the end of each module within the INSOFE’s Smart Education Applications platform. And these badges are only awarded based on the performance of the students in the Conceptual Understanding Tests (CUTe).

Each student gets 6 opportunities to showcase their technical prowess mastered within the program and gain up to INR 60,000.

What’s in the badge?
  • Badge URL - badge name, badge criteria
  • Issuer Verification - authorizations and accreditations
  • Student Data - profiles, validation
  • Evidence URL - student’s mastery in the modules, technical skills
  • Rewards - out-of-class learning achievements

Application Fees : ₹ 3000 (Non-refundable)

Fee for MSc in Machine Learning and Deep Learning - £20,900*. Fees are revised annually and may increase in subsequent years of study.
* Merit Scholarships available

Education Loan:

INSOFE's global outreach program has been recognized by leading financial institutions, and we now also have a strategic partnership with WeMakeScholars, India’s leading platform for students with global career aspirations. WeMakeScholars is a Not-for-Profit organization supported by the IT Ministry, Govt of India, which simplifies your hunt for funding through your educational loan by reducing the redundancy of documentation and fastens the loan process at a minimal processing rate with discounts in processing fee. WeMakeScholars provides these services free of cost!


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The loan approval decision is at the sole discretion of the respective financial institution and INSOFE has no role to play in it. Under no condition can INSOFE be ever held liable for any expenditure or loss incurred in the loan application process.

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Students are expected to fulfill the visa requirements of the UK Embassy. INSOFE cannot be held responsible in any way for the outcome of the visa application of its students.