Department of Mathematics - Programmes Offered

Eligibility : 

A Candidate who have passed H.Sc Examination with Physics, Chemistry and Mathematics

Duration : 3 Years

Strength : 60

Educational Objectives : 

• Empower the students to acquire skills in Mathematics to excel in their employment and Higher studies
• Students must gain both a conceptual and operational understanding of the core and allied courses.
• Inculcate with the skills to develop innovative ideas to solve real world problems to meet their societal needs

Program Specific Outcomes : 

• Understanding the basic and the advanced concepts in  Mathematics     
• Developing manipulative and numerical skills in the various areas including  Physics and Statistics.
• Understanding the concepts of Core and the allied areas of Mathematics, provides a strong foundation for the systematic development of learning process.   
• Applying Mathematical techniques to solve the real life problems.
• Identify, formulate and analyze Mathematical problems reaching sustained conclusions. 

Program Outcomes :

• Students will be well equipped with Mathematical, analytical and the logical skills which will rack up with a thorough knowledge of the core and the allied papers.   
• Procuring innovative ideas to face global challenges which accomplish various rewarding positions in the society.
• Develop the knowledge, skills and attitudes necessary to pursue higher studies in Mathematics.

Eligibility : 

A candidate who have passed B. Sc.Mathematics / B. Sc.Mathematics with CA

Duration : 2 Years

Strength : 40

Educational Objectives : 

• Students must gain domain knowledge to pursue their research.
• Foster their Mathematical skills to model any real life problems.
• Enhancing the skills with integrated learning to bringout the collaborative research.

Program Specific Outcomes :

• Remembering the higher notions of Mathematics to develop logical and creative thinking.
• Comprehend high levels of abstraction in pure and applied  mathematical concepts.
• Investigate and apply mathematical tools to find solutions in a variety of context, related to real world problems.
• Exhibit a deep understanding in Mathematics, providing a strong foundation to identify the thrust areas in research.
• Deeper understanding and successful application of the subject knowledge and  problem solving skills helps to clear NET/SET Examinations

Program Outcomes :

• Procuring innovative ideas to face global challenges which accomplish various rewarding position in the society.
• Applying mathematical concepts and problem solving skills to perform computations in  various fields for social, scientific and economical development.
• To develop a wide range of Mathematical skills and knowledge to pursue their research and compete globally

Eligibility : 

• Canditates for admission to the M.Phil., programme should have a Master's degree or a professional degree declared equivalent to the Master's degree by the syndicate of Bharathiar university, with at least 55% marks in aggregate or its equivalent grade B in the UGC 7-point scale or an equivalent degree from a foreign educational institution accredited by an Assessment and Accreditation Agency which is approved, recognized or authorized by an authority, established or incorporated under a law in its home country or any other statutory authority in that country for the purpose of assessing, accrediting or assuring quality and standards of educational institutions.     
• A relaxation of 5% of marks, from 55% to 50%, or an equivalent relaxation of grade, may be allowed for those belonging to SC/ ST/ OBC/ Differntly-abled and other categories of candidates as per the decision of the UGC from time to time, or for those who had obtained their Master's degree prior to 19th september, 1991. The eligibility marks of 55% and the relaxation of 5% to the categories mentioned above are permissible based only on the qualifying marks without including the grace mark procedures.

Duration : 

• Full Time : 1 Year
• Part Time : 2 Years

Strength : 

• Full Time : 20
• Part Time :10

Eligibility :

• Master's Degree holders should satisfy the criteria stipulated for M.Phil., programme.  
• Candidates who have cleared the M.Phil., course work with at least 55% marks in aggregate or its equivalent grade B in the UGC 7-point scale and successfully completing the M.Phil., Degree shall br eligible to proceed to do research work leading to the Ph.D degree in the same institution in an integrated programme. A relaxation of 5% of marks, from 55% to 50%, or an equivalent relaxation of grade, may be allowed for those belonging to SC/ ST/ OBC / Differently-abled and other categories of candidates as per the decision of the UGC from time to time.
• A person whose M.Phil., dissetation has been evaluated and the viva voce is pending may be admitted to the Ph.D programme of the same institution.
• Candidates possessing a degree considered equivalent to M.Phil., degree of an Indian Institution, from a Foreign Educational Institution accredited by an Asssessment and Accreditation Agency which is approved , recognized or authorized by  an authority, established or incorporated under a law in its home country or any other statutory authority in that country for the purpose of assessing, accrediting or assuring quality and standards of educational institutions, shall be eligible for admission to Ph.D programme. 

Duration : 

• Full Time : 2 Years
• Part Time : 3 Years

Strength :

• Full Time : 30
• Part Time : 30

Programme Outcome (PO)

PO 1. To bridge the gap between the industry and the technology.

PO 2. To visualize the real-world challenges and interpret their complexity with the   

           help of data science.

PO 3. To enhance the economic growth of the country by implementing various data

                       analytics techniques.

Programme Specific Outcome  (PSO)

PSO 1. Recalling the various types of data and effectively make use of them to  

             analyze the progress of any sector.

PSO 2. Interpretation of the data to overcome the threats and challenges that arise  

             time to time.

PSO 3. Application of various statistical tools to measure the efficiency, investigate 

             the quality and to predict the stability of any product in the Marketing arena.

PSO 4. Inferring the usage of appropriate analytics techniques to optimize the Profit

             Loss ratio.

PSO 5. Implementation of Machine Learning and Artificial Intelligence to reduce the

             man power and time consumption while dealing with complex real world

             problems.

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