MTECH ENVIRONMENTAL STATISTICS

The Master of Technology (M.Tech) Degree Programme in Environmental Statistics is designed to enable B.Tech Environmental Statistics students, and graduates from related programmes pursue advanced education and training in Environmental Statistics. The program aims to provide students with advanced statistics skills for exciting and challenging careers in the industries dealing with environmental research and data analysis.

 

Aims and Objectives of the Programme

The programme is a Master of Technology (M.Tech) degree in Environmental Statistics. It is an advanced programme aimed at providing in-depth knowledge in environmental data analysis and/or contributes to the body of knowledge through research. The main objective of the programme is to enable students understand the fundamental principles in environmental data analysis and inference to develop new knowledge and solve existing problems.

 

Admission Requirements

The duration of the Master of Technology programme is two (2) years, and to gain admission to the programme, an applicant must satisfy the following minimum entry requirements: 

Applicants must possess:

B.Tech or B.Sc. Statistics

B.Tech or B.Sc. Environmental Statistics or equivalent qualification.

All applicants must have a minimum of one (1) year post-qualification industrial experience. Preference will be given to applicants with 1st Class and 2nd Class Upper Honours. First Class B.Tech Environmental Statistics applicants may be admitted without the post-graduation industrial experience. Applicants with a second class (lower division) or lower qualifications will have to pass an interview before admission into the programme.

Applicants with other statistics or mathematics backgrounds would be required to take relevant environmental science courses as prerequisites.

 

 

YEAR 1: COURSE-BASED PROGRAMME STRUCTURE

YEAR 1, SEMESTER 1

 

COURSE CODE

 

 

COURSE TITLE

 

STAE 503

 

Core

 

Probability Distribution

 

STAE 505

 

 

Core

 

Statistical Inference

 

STAE 507

 

 

Core

 

Statistical Computing

 

STAE 509

 

 

Elective

 

Geographical Information Systems I

 

STAE 511

 

 

Elective

 

Project Management

 

STAE 513

 

Elective

 

The Environment: Concepts, Human Influence and Changes I

 

 

YEAR 1, SEMESTER 2

 

COURSE CODE

 

 

COURSE TITLE

 

STAE 502

 

Core

Statistical Modelling

STAE 504

 

Core

Applied Time Series Analysis

STAE 506

 

Core

Spatial Data Analysis

STAE 508

 

Elective

Geographical Information Systems II

STAE 510

 

Core

Advanced Research Methods

STAE 512

Elective

The Environment: Concepts, Human Influence and Changes II

 

 

YEAR 2: RESEARCH-BASED PROGRAMME STRUCTURE

YEAR 1, SEMESTER 2

 

COURSE CODE

COMPONENT

STAE 12

 

M. Tech Thesis I

STAE 14

 

Seminar I

STAE 13

 

M. Tech Thesis II

STAE 15

 

Seminar II

 

 

Employment Prospects of Graduates

a. Mining industries

b. Water treatment and production industries

c. Healthcare industries

d. Fertilizer and agrochemicals industries

e. Regulatory bodies

f. Consultancy

g. Academic institutions

 h. Research institutions

 

 

 

 

 

 

 

 

 

 

Duration: 
2 Years
Options Available: