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M.Sc. Mathematics

Program Outline

M.Sc. Mathematics is a two-year postgraduate program which is being divided into four semesters. In the M.Sc. Mathematics, students get a deep insight into pure and applied mathematics. Students learn about the problem-solving skills and reasoning skills which helps them to solve the real-life problems. This program deals with key areas of mathematics in which students get a deeper knowledge of advanced mathematics through a vast preference of subjects. After the completion of this program students become more skilled and specialized in a particular subject. By Considering need of today’s digital era department offers two Specializations as

  1. M.Sc. Mathematics (Specialization in Data Science)
  2. M.Sc. Mathematics (Specialization in Computer Application)

Eligibility

B. Sc. (Hons.) Mathematics or Bachelor of Science with optional Subject is Mathematics. and Nonzero score in MGMU-CET-2024

Key Features

  • Curriculum is aligned with National Education Policy (NEP – 2020).
  • Curriculum is based on a learning outcomes-based curriculum framework (LOCF).
  • Specialization in Mathematics with Computer Applications opens up diverse career opportunities in fields such as scientific research, data science, software development, finance, and more. This interdisciplinary approach combines the strengths of both mathematics and computer science to address complex problems in various domains. MSc in Mathematics provides advanced training and knowledge in various branches of mathematics, including pure mathematics, applied mathematics, computational mathematics, and theoretical mathematics
  • Extensive & latest academic curriculum
  • CBCS (Choice Based Credit System)
  • A wide range of core and open elective courses as per Industry requirements
  • Problem-based learning through dissertation
  • Mandatory Internships for students
  • Outcome based teaching with hands on Lab sessions
  • Exposure of students to present their research work in various National/International Conferences / Workshops / Seminars
  • Placement oriented technical and soft skill training sessions
  • Regular International & National invited Lectures/ workshops etc. from Academia & Industry
  • Quantitative aptitude sessions for competitive exams
  • Imbibing new ideas through educational visits

Career Opportunities

  • Higher studies: Student can go in the research field and pursue M. Phil. or Ph.D. in mathematics. Students can choose the teaching field and become a professor in government and private colleges.
  • Secondary school teacher, technical subject matter experts, academic coordinator, middle school teachers, and science teachers.
  • Students can get a chance in the financial sector and the government sector. They will be the best for the work profile of analytic science consultant, actuarial analyst, database manager, external auditor, data analyst, customer coordinator, credit analyst, and quantitative risk analyst.
  • Can enter in Higher educational Institutions like IIT, TFIR etc.
  • Purchasing managers for problem-solving and analytical skills in mathematics on a day-to-day basis As Insurance underwriters –to evaluate, analyse and assess risk on behalf of the insurance company.
  • As financial planner who helps the people and companies to manage their financial assets
  • As Financial Analytics
  • As Data Analytics
  • Operation Research Analytics
  • As Actuary
  • As Data Scientist
  • Economist
  • Budget Analysis

Missing Details

Missing details


Dr. K. M. Jadhav


Dr. Praful Shinde


Dr. Pranaya Diwate



Dr. Ganesh T. Pawar


Dr. Balaji B. Mulik


Dr. Mohammed Khaja Moinuddin Siddiqui



Prof. Karuna Ghodki


Dr. Asha Dagar


Dr. Vidya Suresh Deshmukh



Dr.Nikeshkumar N Ingle


Dr. Suchita Subhashrao Gadekar


Dr. Sankalpa Nitin Navathar


Ms. Kalpana Dnyaneshwar Shinde


Sanket Durgadas Jadhao


Dr. Rutwik Shedge

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WEB DEVELOPMENT LAB

This Laboratory is used by second year as well as third year students for carrying out Practicals related to Web development, Python, Android, JAVA, Database management systems etc.

LABORATORY RESOURCES (EQUIPMENT)

Hardware: Lenovo Gen 7 B250 V250 DT, RAM 8 GB,1 TB HDD (20 Nos.)

Software: Windows 10, Android studio, Eclipse


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SOFTWARE ENGINEERING LAB

This Laboratory is used by second year as well as third year students for carrying out practical related to Big data Computing, Mobile computing, Microprocessor programming, Image processing etc.

LABORATORY RESOURCES (EQUIPMENT)

Hardware: Lenovo Gen 7 B250 V250 DT, RAM 8 GB,1 TB HDD (20 Nos.)

Software: Windows 10, WEKA Tool, R-Tool, Mongo DB, Hadoop, APACHE PIG, HIVE


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DATABASE LAB

This Laboratory is dedicated to the Red hat academy. Students learn different certification courses like RHCSA, RHCE under this academy.

LABORATORY RESOURCES (EQUIPMENT)

Hardware: Lenovo Gen 7 B250 V250 DT, RAM 8 GB,1 TB HDD (20 Nos.)

Software: RHEL 7


...
SOFTWARE DEVELOPMENT LAB

This Laboratory is used by third year students for carrying out practicals related to Software Engineering, Computer networks, Enterprise Resource Planning etc.

LABORATORY RESOURCES (EQUIPMENT)

Hardware: Lenovo Gen 7 B250 V250 DT, RAM 8 GB,1 TB HDD (20 Nos.)

Software: Ubuntu 18.04 LTS, Codeblocks.