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Master of Technology [M.Tech] (Mining Engineering)

Course Structure

M. Tech. Mining Engineering is a 2 year course divided into 4 semesters. The marks of the students are based on their performances in Theory exams, Industrial training, Seminar /viva-voce, Dissertation and Teaching assignment/ Lab work. 

The course is designed in a way which has all essential topics of waste management, mine closure and types of industrial disputes in accordance to Mining Engineering.

The scheme of assessment for M. Tech. Mining Engineering is 60% weightage of externals and 40% weightage of internals.

Syllabus

Subjects included in the syllabus cover concepts of equipment reliability, design and safety and risk factors in Mining Engineering with personnel management subjects as well.

The subject has elective subjects like geo-informatics, surface mine planning, underground planning etc.

An overview of the courses and topics covered in is given below:

Name of the Subject

Topics

Objective

Operations Research

  • Introduction to Operation Research
  • Linear Programming
  • Dynamic Programming
  • Network Analysis
  • Inventory Models
  • Queuing Theory
  • Non-linear Programming

The objective of this subject is to introduce students to the basics of operations research.

Applied Rock Mechanics

  • In-situ Stresses
  • Stress Around Mine Openings
  • Design of Mine Openings and Pillars
  • Design of Supports
  • Goaf  Support
  • Rock Bursts and Bumps
  • Subsidence

The goal of this subject is to make students understand the designing of mine openings and supports.

Project Management

  • Financial Analysis
  • Personnel Management
  • Work Study
  • Inventory Planning and Management
  • Purchasing and Tendering
  • Project Monitoring
  • Industrial Disputes
  • Mine Closure Planning
  • Quality Management

This subject teaches students how to manage the personnel and other factors involved in mining industry.

Eco-Friendly Mining

  • Overview
  • Basic concept
  • Environmental Parameters
  • Waste Management
  • Mine Closure
  • Environmental Policies and Laws

The objective of this course is to teach students how to make the mining process eco-friendly.

Physical And Numerical Simulation

  • Principles and Basic Concepts of Simulation
  • Physical Modeling
  • Boundary Element Method
  • Finite Difference Method

This subject helps the students to learn Principles and Basic Concepts of Simulation.

Geo-Informatics

  • Introduction to Geo-informatics and its Application to Mining Engineering.
  • Principles of Geo-informatics
  • Geological Discontinuities
  • Remote Sensing
  • Geographic Information System (GIS)
  • Global Positioning System (GPS)

This course enhances the knowledge of the student regarding Geo-informatics and its Applications.

Reliability Engineering

  • Basic Concepts of Reliability
  • Design for Reliability
  • Component Reliability and Hazard Models
  • Reliability Assessment Approaches
  • Equipment Reliability Analysis

This course helps the students to gain knowledge about the approaches and components of Reliability.

Safety And Risk Management In Mines

  • Source of risk and hazard in mines
  • Accident analysis and control
  • Cost of accident
  • System engineering approach to risk and safety
  • Hazard identification Techniques
  • Risk assessment process. Risk reduction
  • Safety audits and control
  • Human behavioral approach in safety

The goal of this subject is to enable students understand the approach to risk and safety.

Industrial Training

6 weeks training

This training is mandatory for the students pursuing this course.

Dissertation

Submission of research paper

The students pursuing this course have to submit a Dissertation at the end of the last semester.

Ask your question

Answered Questions

RM

Ritabrita Mitra

01 Mar 22

The career prospect of doing M.Tech in Quality Reliability and Operations Research from ISI Kolkata can be divided into two parts, i.e. jobs and placements. You don’t need to worry about job prospects, you will get placement offers as a Business analyst or Data scientist with a similar CTC of top b-school graduates. According to the 2021 ISI Kolkata placement highlight, the average CTC offered was INR 19 LPA. 

Doing Ph.D. or higher studies can be difficult, especially if you are planning on going overseas. It’s better if you choose the Industrial Engineering domain. It will aline with QROR. If you are interested in Data Science or Machine Learning domain, you can consider doing some projects. ISI offers ample opportunities for such projects. 

...Show More

SH

Sreeparna Hazra

21 Sept 21

Well, I would if you are worried about job prospects and all stuff although being in ISI Kolkata then shed off your worry. Trust me; you will get a job with an average CTC matching with top B-Schools in India. Job roles such as Business Analyst/Data Scientist and many others will be offered to you.

Now let me help you more in understanding this. Let’s break this into two parts – Job vs. Higher Studies.

  • Pursuing Ph.D./Higher Studies is a tough deal if you're applying abroad.
  • My personal perspective, in this case, will be, go for a Ph.D. in Industrial Engineering domain. 
  • That's the best option, as it will be aligned with QROR.
  • Now, you should definitely rethink before applying for the courses like Data Science/ Machine Learning domain, or Statistics.
  • For this, I would suggest you consider doing some projects. And if you are at the Indian Statistical Institute you will get a plethora of opportunities.

So first and foremost, just be crystal clear with your future endeavors before joining any course. Once you decide, opt for the best but don’t rush. Just give your best thought and calculate all the pros and cons.

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SJ

Suchandra Jha

21 Apr 21

In terms of placement for Electrical Engineering students in Systems Engineering at IIT BHU, there are several opportunities provided by companies of various domains. The selection of a student in a specific job profile depends on the interest of the student towards that specific domain. 

The table below gives a brief overview of the M.Tech in Systems Engineering stream of IIT BHU.

Total Fees

Rs. 69,180

Median Salary Offered

Rs. 8 LPA

Total Number of Seats

12

Cut-off (GATE)

Score-687

Key Highlights:

  • The Systems Engineering branch allows the admission of students from EE, EC, and IN branches, having a valid GATE score (also known as an interdisciplinary course).
  • The course of Systems Engineering mostly comprises Electrical Engineering subjects. So, students from the Department of EC and IN face some problems in certain subjects like Power system operations, control engineering, electric drives, etc. Other than such courses, most topics are related to control systems, which are simpler topics for EC and IN students.
  • The latest research areas, course overview, eligibility for the department of Systems Engineering are provided on the college website, where the students can have a brief idea about the topics covered.
  • At present, the college offers 12 seats in Systems Engineering. Out of the total number of seats, a maximum of 40% seats are given to one branch to ensure that there are students from every branch.
  • Students from Systems Engineering are allowed to sit for the placement of various companies. Some of them include Google, Microsoft, Oracle, Apple, Qualcomm, SAP labs, Intel, Kla Tencor, Eaton, Cognizant, TCS, JP Morgan, GE, Bosch, Math works, Mercedes Benz, Texas Instruments, Tata Motors, Honeywell, Cisco, Morgan Stanley, Kotak Mahindra Bank, Relaxo, etc.
  • Students are even offered jobs in lectureship at several universities and coaching institutes.
  • There is a parameter for students to sit for a maximum of 60 companies in placement, as given by the institute. So, students need to choose among companies.

Overall, there are several options in placement for students in Systems Engineering at IIT BHU. Mostly, the selection of a student depends on his/her choice in the working area or depends on the project developed by the student during his/her tenure. There is a good chance for a student to get a proper match in the job profile offered by the companies.

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VP

Vishal Pandey

26 Aug 21

One of my friends with a GATE score of 670 took admission to NIT Calicut. The academics in the field of industrial and management are good but the placements are not good enough. The faculty of NIT Calicut is exceptionally well, knowledgeable and experienced. They are way better than the faculty of NIT Trichy or ISM Dhanbad. 

Placements for M.Tech courses are very bad and it is the same in all institutes. The only exception is flagship IITs and NIT Trichy. Therefore, one should opt for NIT Trichy than NIT Calicut. 

Therefore, if you are interested in a job right after the course, go for NIT Trichy. If you want to study further in this field, then NIT Calicut would be a suitable choice.

...Show More

AA

Aman Adhikari

18 Mar 23

Campus Placement of IEOR at IIT Bombay is carried out in two phases. For the last two years, IIT Bombay has managed to earn its credibility by maintaining a 100% mark for MTech students. With the increase in the demand for IEOR, the number of students willing to pursue this program is increasing every year. This year the total seats for IEOR were 32.

Given the current scenario, IEOR is no longer restricted to OR Analysts. The job prospects of this program have broadened with some major roles like 

  • Machine Learning Engineer
  • AI Engineer
  • Data Scientist
  • Data Engineer
  • Software Engineer
  • Financial Engineer
  • Actuarial Scientist
  • Consultant
  • Business Analyst
  • Supply Chain Analyst
  • Modeling Analyst

The key highlights of IEOR placements at IIT Bombay have been tabulated below

Particulars 

Statistics 

Placement percentage 

78.95%

Median CTC

INR 13 LPA

Average CTC

INR 17.9 LPA

Total International Offers

58

Top Recruiters 

ACCENTURE, Analog Device, Apple, CITI Bank, Google, Hindustan Unilever, HONEYWELL, IBM, ISRO

One can easily conclude that the placements of IEOR at IIT Bombay are just average. They provide you with the necessary opportunities only. It’s you who has to pave the way to success.

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CM

Chirag Mittal

03 Sept 21

An M.Tech in Industrial Engineering and Management from NIT Trichy is a very good course. The placements are also really good. Any company which comes to the campus for recruiting mechanical or production specialization students will also let you sit for their process. 

There are many core companies in the data/business analytics, supply chain, and simulation sector which offer management-related profiles to the students.

The percentage placements of the M.Tech in Industrial Engineering and Management students over the years at NIT Trichy is given below –

  • 2016-17 – 92%
  • 2017-18 – 91.3%
  • 2018-19 – 76.2%
  • 2019-20 – 94.4%

You can further pursue a Ph.D. in this area and work as a professor in any engineering college or university. The best part of this course is its leniency towards attendance, classes, and exams which will help you to maximize your learning through other means as well.

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RD

Rajashree Dalui

11 Aug 21

It all actually depends on your interest. As both of these options are completely different and two different areas of interest. You must choose what you find interesting. There would not be any conflict between these two institutes over the placement stats as both of them will give good placements to their students. Here are the recent placement highlights of the institutes.

Parameters NITIE IISc
Average CTC 20 LPA 10 LPA
Highest CTC 43 LPA 40 LPA
Major recruiters ETLI, EY, IDFC First HP, Dell, Intel

If you are interested in tough work that is more challenging or research and development-oriented, you should choose IISc. As in the world of Nanoscience, IISc is the country’s most renowned institution. And if you are more inclined towards managerial work, then it would be better to go to NITIE.

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KS

Kunal Sharma

05 Apr 23

IIT Delhi M.Tech program in Industrial Engineering covers a wide range of topics such as statistics, probability, optimization, simulation, etc thus attracting more and more recruiters every year.

Of all the fields, a major part of the batch prefers Analytics mainly because of the packages offered and the kind of companies visiting for jobs related to Analytics. Analytics companies arrive way before supply chains and other companies and most students prefer going for Analytics only. 

However, the IE branch has much better scope in other Institutes like NITIE, IITB, and IITK. IIT Delhi also isn’t very lacking and its placement statistics are a testament to the same.

Around 80% of the entire batch was placed this year with the major recruiters include

  • Accenture
  • Barclays Bank
  • Capgemini
  • Deloitte
  • Flipkart
  • Hindustan Unilever
  • ICICI
  • JP Morgan Chase

Coursework: The coursework lacks diversity in comparison to the IEOR at Bombay or IEM at Kanpur. But the best part is the rigorous projects part of the curriculum that begins right from the first year itself. These projects are based on real-life problems in society covering fields such as healthcare, transportation, manufacturing, and public policy while using modern programming tools such as Python, Matlab, Java, C, etc.

Some major courses offered in the program are

  • Probability and statistics
  • Linear and Non-linear optimization
  • Industrial Engineering Systems
  • Supply Chain Management
  • MPC (Maintenance Planning and Control)
  • Project Management
  • OPC (operations Planning and Control)
  • SMS (Stochastic Modeling and Simulation)
  • Value Engineering and life cycle costing
  • RAM (Reliability, Availability, and Maintainability)

Considering decent placements and rigorous coursework, MTech in Industrial Engineering at IIT Delhi is not a bad idea.

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SB

Shruti Baid

14 Aug 20

IIT BHU offers a decent MTech program in Industrial Management. The MTech programs at IIT BHU are multidisciplinary and research-oriented and the course curriculum is designed to meet the industry requirements. There is a huge exposure for higher education in industrial engineering management in the domain of supply chain management, operation research, inventory management, etc.

All the manufacturing and engineering companies offer jobs specifically to industrial engineers. Some of them are TATA Steel, Tata Motors, Reliance Industries, Maruti Udyog. There are also other companies like TCS, Infosys, Wipro, etc. to name a few that offer jobs. Government organizations like BSNL, ONGC, ISRO, etc. also offer jobs with handsome packages. The average package offered in 2019 campus placement was between 10 LPA to 58 LPA.

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AS

Aditi Sinha

30 Apr 22

You should choose according to your career plan. M.Tech in Design is a core field of engineering. This branch will be better if you plan on pursuing a Ph.D. 

If you want jobs with good salary packages, Industrial Engineering from IIT BHU will be better. Scop of Industrial Engineering is pretty good in India. Students of this branch get job opportunities from sectors like delivery/logistic companies, eCommerce sites, textile industries, FMCG, and manufacturing. IIT BHU offers a median CTC of around INR 15.1 LPA to the students of this branch. 

...Show More

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