Indus University offers postgraduate programmes in several fields: Technology engineering, management, clinical research, aviation and computers.

Master’s degree allows students to have a thorough knowledge of the subject in which they hope to excel. It enables students to gather new perspectives, leading to value addition projects and innovation in a chosen sphere.

Expertise in a field not only opens doors for further studies (in India or abroad) but also strengthens career prospects, opening doors of recognized companies.


Guide students on how to think out of the box.

Training students to become entrepreneurs or begin a startup.


Candidates are required to have successfully completed their under-graduation programme to apply for post-graduation.

Admissions - Postgraduate Programmes

Courses Offered

2 YearsM Tech CAD / CAM18
2 YearsM Tech Construction Project Management18
2 YearsM Tech Digital Communication18
2 YearsM Tech Electric Power Systems18
2 YearsM Tech Materials Technology
2 YearsM Tech Structural Engineering18
2 YearsM Tech Welding Technology18
2 YearsM.Tech Environmental Engineering 18
2 YearsM.Tech Energy  engineering 18
2 YearsM.Tech VLSI and embedded systems18
2 YearsM.Tech Power system engineering 18
2 YearsM.Tech Data sciences 18
2 YearsM.Tech Drone technology 18
2 YearsM.Tech Automotive Engineering 18
2 YearsM.Tech High Performance Computing 18

Admission Criteria

25% of the sanctioned strength of Management & NRI quota will be filled up on the basis of merit as per the eligibility criteria decided by AICTE & Gujarat State Government and procedure laid down by ACPC.

Eligibility Criteria

The eligibility criteria is minimum 50% marks in B.E./B.Tech with the qualifying GATE Score or State level entrance exam for M.E./M.Tech.

Course Duration:

2 Years (4 Semesters)

Tuition fees:

Rs. 1,26,000 per annum

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60 Seats

Eligibility Criteria:

MCA Lateral (2 Years): Students from the discipline of B.C.A., B.Sc. (IT), B.Sc. (Computer Science/Applications), B.Sc. (Information Science/Systems) with minimum 50% of marks from a recognized university (45% for reserved categories).

MCA (3 Years): Any graduate with minimum 50% of marks from a recognized university (45% for reserved categories).

Course Duration:

MCA Lateral: 2 Years (4 Semesters)

MCA: 3 Years (6 Semesters)

Tuition fees:

Rs. 82,000 per annum

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About the MBA Programmes

M.B.A. Programme at IIMS (Indus University) offers unique pedagogy of Industry and business oriented curriculum which provides a distinct advantage for young bright minds of the 21st century. IIMS offers MBA programme of 2 years and 3 years for full time and part time respectively with various specializations. Each specialization has number of courses which are covered in breadth and depth. The courses are designed to provide conceptual, contemporary and application areas of the serialization. Management programme structures are designed with inputs from global leaders and industry to meet the needs of the learning outcomes. We offer business management co-located with technology and engineering learning environment. The institute has highly qualified and industry experienced faculty with outstanding research background. Experience the class apart learning and joy in the campus.

Programmes Offered

2 YearsMaster of Business Administration(IIMS)60
3 YearsMaster of Business Administration(IIMS) – Part Time60

Specialization: Marketing, Finance, Human Resource, Information Technology

Sectorial Electives: Retail, Banking, Hospitality and Tourism, Family Business


Graduation in any stream(With valid CAT/MAT/CMAT/IUMAT).

Tuition Fees:

Master of Business Administration(IIMS) : Rs 78000

Master of Business Administration(IIMS) – Part Time : Rs 65000

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150 Seats


Admissions will be directly made on the basis of merit as per the declared eligibility criteria as follows:

Eligibility Criteria

Students from the discipline of B.C.A., B.Sc. (IT), B.Sc. (Computer Science/Applications), B.Sc. (Information Science/Systems) passed out minimum 50% of marks from a recognized university.

The Entrance Test will be conducted to evaluate the candidates on their mathematical aptitude, data sufficiency, quantitative ability, basic Programming, Information Technology awareness and English language. Candidates will be admitted on the basis of merit.

Course Duration

2 Years (4 Semesters)

Tuition fees

Rs. 55,000 per annum

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M.Sc. – Chemistry

The course aims to provide a comprehensive study of various branches of chemistry. It shall cover various thrust areas of organic, inorganic, physical, and analytical chemistry. The two-year postgraduate course is offered in the below-stated two areas of chemistry:

Organic Chemistry:  Organic Chemistry is a branch of chemistry, which deals with the study of organic compounds and their synthesis mechanisms.

Analytical Chemistry:  Analytical Chemistry is the branch of chemistry that deals with the qualitative and quantitative aspects of the chemical components of natural and artificial materials.

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Mathematics being the foundation of any science, engineering and technological program, the department has a mission to impart knowledge of the subject to the students of these branches of study as per the requirement of the respective branch. Through the M. Sc. Program, the department envisages to develop the new generation in a sound scientific community that not only has a thorough knowledge of mathematics but also has an inclination to apply it to help the society and industry to solve their problems, and thereby contribute in the development of the nation. Through the doctoral research program, the department aspires to produce individuals dedicated to add on substantially to the domain of knowledge by preparing new models and theories. By the quality research output, the department aims at giving recognition to the University at national and international level.

Programme: M. Sc. (Mathematics)

Duration: 2 years (4 semesters)

Eligibility: Bachelor’s degree in Mathematics

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M.Sc. – Pharmaceutical Science

This two-year course is a multi-disciplinary applied science programme. The student shall learn about the fundamentals of chemistry along with the thrust area of pharmaceutical industry such as pharmaceutics, pharmacognosy, pharmacology, biochemistry, and regulatory affairs to cater the need of the contemporary pharmaceutical industry for drug design and discovery, analytical method development, quality control, and assurance. 


Programme Duration: 2 Years

Eligibility: Bachelor’s Degree in Chemistry / Biological Sciences / Biotechnology / Microbiology / B.Pharm


Physics involves in-depth study of the basics of nature. It not only helps search the answer to the questions such as what led to the big bang or how did galaxies form or the philosophy of existence, but also enables students to apply the concepts of physics in the real world.

At Indus, physics is introduced to students in the courses to form a solid foundation for the upcoming future. The lectures are an amalgamation of theory and practice. Practical sessions are conducted in the laboratory, wherein experiments are carried out by students individually. Special interactive problem-solving sessions are organized on a weekly basis. Tests are planned regularly to assess the grasping power of students and to improve their performance based on it.

Programme: M. Sc. (Physics)

Duration: 2 years (4 semesters)

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M.A. (English Literature/ English Language Teaching)
The Department of Languages aims to educate and train students who have an inclination for literature and language. Literature being the corner stone of Language studies will be delivered through an experiential method where students will explore and analyze fictional and non-fictional works of prose, poetry, drama and classic works of art.  The syllabus has also been designed to assist students for further research in the field of Literature.  This will assist students in gaining language and ultimately in making a career in the domains of content writing, editing, proof-reading; copywriting, public relations, reporting, teaching, and novel writing on acquiring a Degree.


Full Time, 2 Years


All Graduates Candidates; Best suited for B.Tech in Aeronautical Engineering, or any other Engineering Graduates & BCA and MCA candidates

Min marks required: 50%


Semester I

Marketing Management; Financial Management Part I; Human Resource Management; Business Communication; Principles of Management; Airline & Airport Management

Semester II

Total Quality Management & Six Sigma; Financial Management Part II; Managerial Economics; Quantitative Techniques; Management Information System; Aviation Safety & Security Management; Airline Operations

Semester III

Customer Relationship Management; Aviation Law & Insurance; Airline Economics; Operations Management; Overview of Civil Aviation; Strategic Management

Semester IV

Airport Ramp Operations; International Business; Airport Terminal Operations; Dissertation

Duration Full Time, 2 Years Eligibility All Graduates; Best suited for life science graduates / MBBS/BDS/ BHMS/BUMS/BAMS/BPT/BSc Nursing/ B Pharma/ B.Tech/ Bio-Tech/ Bio-Informatics Candidates Min marks required: 50% Syllabus Semester – I Marketing Management; Financial Management I; Human Resource Management Business Communication; Principles of Management; Introduction to Logistics & Supply Chain Management Semester- II Total Quality Management & Six Sigma; Financial Management Part II Managerial Economics; Quantitative Techniques; Management Information System E-Commerce; Business & Supply Chain; Risk Management Semester- III Customer Relationship Management; Warehouse & Inventory Management Supply Chain Transportation; Design & Simulation; Operations Management Introduction to Operation Research; Strategic Management Semester – IV Global Supply & Chain and Logistics Management; International Business Exim Policy & Export Procedure; Documentation; Dissertation
Duration Full Time, 2 Years Eligibility All Graduates; Best suited for Life science graduates/ MBBS/BDS/ BHMS/BUMS/BAMS/BPT/BSc Nursing/ B Pharma/ Bio-Tech/ Bio-Informatics Candidates Min marks required: 50% Syllabus SEMESTER I Marketing Management; Financial Management Part I; Human Resource Management; Business Communication; Principles of Management; Basic Concepts of Health; Hospital & Drug Management SEMESTER II Total Quality Management & Six Sigma; Financial Management Part II; Managerial Economics Quantitative Techniques; Management Information System; Epidemiology & Analysis of Health Information Data; Medical Terminology & Medical Transcription SEMESTER III Customer Relationship Management; Hospital Operations Management; Quality in Healthcare Operations Management; Hospital Management & Law Strategic Management SEMESTER IV Biomedical Waste Management; International Business; Patient Care Service; Dissertation


Full Time, 2 Years


All Life Science Graduates or Graduates with Biology as a compulsory subject; Best suited for MBBS/BDS/ BHMS/BUMS/BAMS/BPT/BSc Nursing/ B Pharma/ Bio-Tech/ Bio-Informatics Candidates

Min marks required: 50%


Semester I

Module I: Pharmaceutical Medicine & Drug Therapy; Module II: Pre-Clinical Development ; Module III: Clinical Research Overview; Module IV: Ethics in Clinical research

Semester II

Module I: Regulations and Schedule; Module II: Global Regulations ; Module III: Designing of Clinical Trials; Module IV: Monitoring of Clinical Trials

Semester III

Module I: Pharmacovigilance – Principles of drug Safety; Module II: Biostatistics ; Module III: Project Management And Outsourcing; Module IV: Clinical Data Management & Medical Writing


1 Year


A candidate holding MCA, BE (CE/ IT/ EC) /B.Tech(CE/ IT/ EC)/ M.Tech(CE/EC)/ MSc (CS/CA/IT/ Mathematics/Statistics)/ , BSc(CS /CA/IT/Mathematics/Statistics)/BCA/ PGDCSA or equivalent can apply.


ML&AI is not only reshaping the Indian IT industry but also remarking the business landscape. Almost 90% of the companies aim to integrate AI in their processes in the next three years. Companies across consumer, logistics, and healthcare are searching for techies with fluency in deep learning and disruptive technologies.

Industry players hailed the government’s recent move to double the allocation for the Digital India programme to Rs 3,073 for 2018– a decision that aims to promote ML, AI, Robotics and other innovations in the country.

Several Indian organizations and startups are looking for top talents with an experience in using cutting-edge technologies to build advanced AI-related solutions.

According to a study, employers’ demand for AI talents has more than doubled over the past.

Couse Outcome

To review and strengthen important Mathematical concepts required for AI & ML which the student has already been exposed to in previous programs.

Introduce students to Python, the modern language useful for writing compact codes specifically focusing on Data Analysis and Scientific Computing. Equal weightage has been given to both theory and practical.

This course introduces the student to the fundamentals of Image processing and Computer Vision to provide sufficient background so that the student can then tackle the hard problems in later courses.

Introduce the concept of learning patterns from data and develop a strong theoretical foundation for understanding state of the art Machine Learning algorithms.

Introduce and define the meaning of Intelligence and explore various paradigms for knowledge encoding in computer systems. Introduce subfields of AI such as NLP, Game Playing, Bayesian Models, etc.


Artificial Intelligence (AI) technology is increasingly prevalent in our everyday lives. It has uses in a variety of industries from gaming, journalism/media, to finance, as well as in the state-of-the-art research fields from robotics, medical diagnosis, and quantum science.

Artificial Intelligence (AI) helps in designing and programming machines and equipment to reduce human efforts in industries. It makes machine act and think like humans. Be it bank operations, medical science, air transport –new applications and technologies are getting heavily based on AI and Machine learning. AI is evolving and rising and coming years are set for the giant forward leap in this discipline. Machine learning is the AI application which allows machines to learn themselves on giving them access to the data. With an objective of automating mundane task AI and machine learning products are on rise and in great demand. In this course we aim to teach students the basics and applications of AI, including: machine learning, probabilistic reasoning, computer vision, and natural language processing.

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