MS in Mining Engineering

Program Description

This program is designed to integrate detailed knowledge of surface mining, underground mining, resource estimation, rock mechanics and mine design with exposure to Artificial Intelligent, and resource management. The students will acquire the skills needed to analyse and design the most suitable mining method for a project with the most appropriate applications of the latest technologies.

Why Study at PAF IAST?

Location and Ambience

PAF IAST is nestled in natural mountains that flank its campus from all sides, offering one even the ravishing view of snow-capped peaks of Nathiagali and natural winding trails. To its north-west is Tarbela Lake, a journey of only a few kilometers from the campus. Set in the middle of the campus is a natural lake, fed by the springs of surrounding mountains. The campus is just a 3-kilometer drive from the Hazara Motorway. The ideal setting equally conducive to academic activity and aesthetic sensibilities of the human eye is a serene island of its own kind, far from the chaos, congestion, and cacophony of metropolitan culture. The major cities like Islamabad, Abbottabad, are just an hour’s drive, while small towns like Wah, Hasanabadal, Taxila, and Swabi can be reached in just half an hour.

Technology Advancement and Foreign Partnership

This institute is an emerging center of excellences, with its own technology park. All faculty members hold PhD degrees in appropriate disciplines. By virtue of its wide array of facilities and the facilitation for its students to learn and benefit both from classroom teaching and faculty trained at premier Austrian universities/institutions, the institution is ideally cut out for imparting state-of–the-art engineering and allied education in Pakistan. The institute enjoys close linkages with top ranking universities in Austria and China. We have already concluded with them formal agreements regarding student and faculty exchange programs, provision of dual degrees in certain areas, and the training support from foreign faculty. cities like Islamabad, Abbottabad, are just an hour’s drive, while small towns like Wah, Hasanabadal, Taxila and Swabi can be reached in just half an hour.

Academia-Industry Relationship

There is a strong synergetic relationship between academia and industry which paves the way for job opportunities for students even in the midst of their studies. PAF IAST will serve as a welcome platform for the industry to share their requirements for a skilled workforce. This will enable the institute to incorporate their valuable inputs in practical vocational training and expose the students to industrial perspectives

On-Spot Industry Internship

It will be a mandatory requirement for every student to do an internship every semester in an appropriate industry. This will garner them practical experience related to their respective degree programs. To crown it all, Technology Park will afford them rare opportunities to apply themselves innovatively and become promising entrepreneurs.

Need and Merit-based Scholarships

Different types of local and foreign scholarship opportunities are available on need and merit base.

Associated Careers

Mining Engineer and Mine Managers (Thar coal project, Saindak copper gold project, Cement industry etc), Consultancy Firms, Defense Sector (PAEC, NDC etc.), Government departments, Research with research institutes, universities, industry, or government agencies.

Entry Criteria:

Candidates seeking admission must have a Bachelor’s Degree (16 years education) with 2.0 CGPA in Mining Engineering / Geological Engineering / Mechanical Engineering / Metallurgical and Materials Engineering / BS Geology or an equivalent and relevant degree from a recognized University.

In addition, the applicant shall have to clear GRE General Type test, organized by University Appointed Testing Authority with a minimum 50% cumulative score.

CORE COURSES

Open Pit Mine Planning & Design

Underground Mine Planning & Design

Applied Geotechnical Engineering

Advanced Resource Modelling and Estimation

Research Methodology