| Strengths |
Strength of the Department • The classroom teaching method has been considered as one of the most effective ways for teaching various theoretical and practical courses of the curriculum. Some effective methods of learning such as group discussion, seminar presentation and projects are used by the faculty members of the department. • The internal assessment tests have been made a constituent part of each theory paper to assess the knowledge of the students about the subject. They also are trained for assignment writing, presentation and test which enable them to improve their communication skill and report writing ability. • The practical on the theory papers have been made compulsory as a part of the curriculum in order to improve their computing skill using Scientific Softwares. • The students have also been motivated to visit libraries of other academic institutions for consulting subject books and research journals as well as for visiting reputed training centres to gain knowledge about the various applications usage of the subjects. • The department is actively involved in organizing academic programmes in the forms of Conferences, Lecture series, Workshops and Training programs. • The Department has been recognized as “Centre of Excellence” by the Govt. of Uttar Pradesh in the year 2019. • A numbers of Research projects form UGC, CST, UPHEC, NBHM on the topic of General Relativity, Cosmology and Mathematical Modelling are running in the Department. • Faculty members have credits to publish in the journals of International/nationalrepute.* • The department has successfully implemented updated syllabi of both the subjects in the light of NEP-2020 guidelines as a result of which the students of the department have got jobs and are placed at various posts of state and central government departments. • The department has attracted students from various other States of India and neighbouring countries for completing M.Sc. and Ph.D. Programmes during last decade. • The department is equipped with NBHM funded Library containing 10 thousands books and thousands of journals. • The department is equipped with three Computer Labs with Internet facility. • The department has smart class rooms and 1 seminar hall. • The department is equipped with perpetual version of MATHEMATICA and MATLAB Software. |
| Weaknesses |
Weakness of the Department • The department has a smaller number of faculty members as a result of which the department not able to introduce more specialized courses. • The department has inadequate space for the teaching and research activities. • The department is facing problem because of a less number of non-teaching staff. |
| Opportunities |
Opportunities • There are excellent job opportunities for students with a degree in Science and Arts stream with the subjects Mathematics &Statistics. Industries and Government agencies are always in search for talented students with expertise knowledge and Mathematical Modelling, Statistical Modelling Cosmology and Machine Learning. • The students with M.Sc. in Statistics can work as a Research Analyst, Associate Analyst/ Business Analyst in various Govt. and Private sectors. • The students with M.Sc. in Mathematics can work as a Academician (Professor), Data Analyst, Scientist in Research institutes like ISRO, DRDO, ARIES, etc and various government and private sectors. • Statisticians work closely with other scientists and researchers to develop new statistical techniques, adapt existing techniques, design experiments, and direct analysis of surveys and retrospective studies. • The students of Mathematical Sciences can be appointed as research scientists in R&D, Banks, Industrial and IT sectors. • The job opportunity in the Indian Statistical Services (ISS) is also one the best opportunities for the students of our department. |
| Challenges |
Challenges In the age of digital world, the department has the following challenges: - • To popularize Mathematics and Statistics for a better career for the students of the department. • To introduce Machine Learning and Artificial Intelligence related courses. • To provide training to the students for the use of Statistical Softwares for handling Big Data. • To introduce specialized courses to cope with the needs of other scientific courses as well as the needs of society and industries. |
