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Online MSc in MLOps at Liverpool John Moores University
1200+ Students enrolled in last 30 days
About Online MSc in MLOps at Liverpool John Moores University
The Online MSc in MLOps from Liverpool John Moores University (LJMU), delivered in collaboration with IIIT Bangalore, is designed for professionals who want to develop expertise in building, deploying and managing machine learning systems at scale. The programme combines academic excellence with industry-focused learning, enabling learners to gain practical knowledge that aligns with evolving AI and machine learning requirements across industries.
The curriculum spans 18 months and covers core concepts in machine learning, deep learning, Generative AI, Agentic AI, cloud computing and MLOps. Learners gain hands-on experience through real-world case studies, capstone projects and practical assignments that simulate business challenges. The programme also provides exposure to widely used programming languages, frameworks and AI tools, helping students build job-ready technical capabilities.
Designed for working professionals, the programme offers a flexible online learning experience without requiring career breaks. Students benefit from live sessions with experienced faculty, industry mentorship, personalised academic support and career guidance throughout the programme. Along with earning a master's degree from Liverpool John Moores University, learners also receive an Executive Post Graduate Programme certification from IIIT Bangalore and a complimentary Microsoft certification. The degree is recognised through WES evaluation, making it valuable for learners planning global career opportunities or higher education pathways.
Online MSc in MLOps Fees
EASY EMI OPTIONS
EMI STARTS FROM
EMI Starting at ₹44,583
COURSE FEES
₹5,35,000
EASY EMI OPTIONS AVAILABLE
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Fee Structure for Online MSc in MLOps
The fee structure for the MSc programme has phased payment opportunities built into it, treating the duration of the course as a financial commitment period, as opposed to requiring the payment to be completed before the course can begin.
Depending on the eligibility criteria and the admission cycle, the learner may be presented with extra financial support opportunities, as stated during the application. It is advisable to applicants to look at the formal programme details before enrolling in the programme to be aware of the payment plan, inclusions, and the terms of the programme.
Fee Component
Amount
₹7,45,000 with immersion
EMI Starting at ₹62,083
*Fees and course details are subject to change as per university updates
Career Opportunities after Online MSc in MLOps
Career opportunities include roles such as MLOps Engineer, Machine Learning Engineer, AI Engineer, Data Scientist, AI Solutions Architect and Cloud AI Specialist. The practical learning approach, supported by case studies and capstone projects, helps learners build experience that employers value.
Students also receive dedicated career support through one-on-one coaching, interview preparation, resume enhancement, AI-powered profile building and networking opportunities. These services help learners confidently transition into advanced AI and MLOps roles or accelerate their growth within their existing organisations.
Job Profiles
Industries
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Download Brochure to get complete Overview
Admission Requirements & Eligibility for Online MSc in MLOps
Applicants should hold a bachelor's degree with a minimum of 50% marks to be considered for admission. The programme is intended for learners with at least one year of technical work experience. Candidates are also required to successfully complete the Executive Post Graduate Programme in Machine Learning from IIIT Bangalore before progressing to the master's degree awarded by Liverpool John Moores University.
The admission process is conducted online and begins with submitting an application along with the required academic and professional details. Eligible applicants receive an offer letter after the evaluation process. To confirm admission, candidates must pay a booking amount of INR 15,000, after which the remaining programme fee is payable according to the prescribed schedule before the programme begins.
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Documents Required For Admission:
- Scanned Copy of a Passport-size Color Photograph.
- Scanned Copy of the Original Qualifying Examination Certificate / Marksheet.
- KYC Documents (Aadhaar Card, PAN, Voter ID, etc).
- Scanned Copy of Date of Birth Proof (X Marksheet/School Leaving Certificate/Transfer Certificate/Character Certificate).
Online MSc Learning Experience at Liverpool John Moores University
Live sessions integrate taught components of learning, and provide the opportunity to ask real-time questions to clarify learning with regard to more complex concepts such as theories and applications of machine learning, artificial intelligence, and the design of related systems.
The design of the programme allows learners to build their confidence addressing real-world AI challenges, while continuing to be flexible to their professional commitments. Regular assessments and the submission of projects ensure learners make consistent progress.
Industry Ready
Learn through live and on-demand industry focused classes
Global Opportunities
Build networks and gain industry insights.
Placement Assistance
Get job-ready with expert placement support.
Exhaustive Content & Resources
Access e-library resources and free Coursera content.
FAQs for Online MSc in MLOps at Liverpool John Moores University
The programme is completed over 18 months through a flexible online learning format, allowing working professionals to continue their careers while studying.
Yes. The master's degree is awarded by Liverpool John Moores University after successful completion of the required programme pathway and is recognised through WES evaluation, supporting learners interested in global career opportunities.
Yes. Students gain practical exposure through more than 60 real-world case studies, multiple capstone projects and hands-on assignments using widely adopted AI, machine learning and MLOps tools.
Learners receive live faculty sessions, industry mentorship, personalised coaching, daily doubt resolution support, academic guidance and comprehensive career services, including interview preparation and profile development.
The curriculum covers machine learning, deep learning, cloud computing, Generative AI, Agentic AI and MLOps concepts such as model deployment, workflow automation and production-ready AI systems using industry-standard tools.
The programme is suitable for software professionals, data professionals, AI practitioners and technology graduates who want to strengthen their expertise in machine learning operations, AI deployment and scalable production systems while learning through a flexible online format.
