Specializing in the study of numbers prepares students for employment in a wide variety of occupations in the public and private sectors.

Introduction to the course:

The Mathematics Department serves a very large number of undergraduate students. In addition to our teaching staff, we work with Learning Support Services  to provide instructional assistance (tutoring) and the division administers Mathematics Placement in order to place students in an appropriate course.  The Courseprovides an excellent foundation in mathematics, which can serve a student well in careers that require quantitative analysis.  Our programme, taught by world-class researchers, will give you a structured foundation of algebra, calculus, number theory, statistics and mathematical modelling. You will acquire skills and knowledge from an exceptionally broad range of topics covering Pure and Applied Mathematics, Statistics and Operational Research, shaping your programme to fit your interests and ambitions. Graduates from this programme are highly sought after by employers in finance, commerce, industry, education, and research. For those wishing to develop these ideas even further we also offer a 5-year integrated M.SC programme.

What are the learning outcomes?

Students who successfully complete the BSc in mathematics will be able to:

  • Perform computations in higher mathematics
  • Write and understand basic proofs
  • Develop and maintain problem-solving skills
  • Use mathematical ideas to model real-world problems
  • Communicate mathematical ideas with others
  • Utilize technology to address mathematical ideas
  • Think in a critical manner
  • Formulate and develop mathematical arguments in a logical manner.

With that skill set, graduates are well prepared to begin rewarding careers in:

  • Education
  • Statistics
  • Actuarial science
  • Mathematics, both pure and applied

Specialisations:

DSE – I (Theory)

  • Mathematical Finance [SMA33105]
  • Portfolio Optimization  [SMA33107]
  • Nonlinear Dynamics [SMA33109]

DSE – II (Theory)

  • Number Theory[SMA33113]
  • Set theory and Metric Spaces[SMA33115]

DSE – III (Theory)

  • Bio-Mathematics [ SMA33106]
  • Mathematical Modeling[ SMA33108]

Internship & Project work destinations:

ISI Kolkata/IIT Kharagpur

 

Placement & Career Opportunities / Research Opportunities

  • Opted Master degree course at Central University of Rajasthan
  • Opted MBA at Ramachandran International Institute Of Management, Pune

Eligibility

50% overall in 10+2 with respective subjects.

View Course Structure

Introduction to the course:

This course has been frame out on the based on fundamental of Statistics and its use in data analytics with the aim that student under this course enriched by the core of modern data analytics that turn data into intelligence to inform decision-making and solve challenging problems. Applications range from economics and medicine, to social and environmental sciences. This degree covers theoretical and applied elements of modern statistics, and provides training and practical experience in modelling, analysing and interpreting real data required in the economy, industry and research. The early years of the degree cover basic mathematics, probability and statistics. The final years focus on advanced specialist topics in statistical modelling, data science, machine learning, probability and stochastic processes.

What are the learning outcomes?

By the end of a degree program in Statistics and Data Analytics, a student will:

  • have the versatility to work effectively in a broad range of analytic, scientific, government, financial, health, technical and other positions.
  • have a broad background in Statistics and Data Analytics, an appreciation of how its various sub-disciplines are related, the ability to use techniques from different areas, and an in-depth knowledge about topics chosen from those offered through the department.
  • Graduates will: recognize the importance and value of mathematical and statistical thinking, training, and approach to problem solving, on a diverse variety of disciplines;
  • Obtain, clean/process and transform data.
  • Analyze and interpret data using an ethically responsible approach.
  • Use appropriate models of analysis, assess the quality of input, derive insight from results, and investigate potential issues.
  • Apply computing theory, languages and algorithms, as well as mathematical and statistical models, and the principles of optimization to appropriately formulate and use data analyses.
  • Formulate and use appropriate models of data analysis to solve hidden solutions to business-related challenges.
  • Perform well in a group.
  • Interpret data findings effectively to any audience, orally, visually and in written formats.

Internship and Project Work:

As this course start from coming session 2019-20, registered students belong to this course may apply for summer internship programs during semester break in different public /private companies, Research institutes, ISI Kolkata, IITs, HRI, TIFR, and State Universities etc.

Placement & Career/Research Opportunities:

Data scientists are required in every sector, carrying out statistical analysis or mining data      on social media, so our course can open the door to almost any industry, from health, to   government, to publishing. After completion of degree, a student can also start his/her career as Actuarial analyst, Data analyst, Data scientist, Financial risk analyst, Investment analyst, Market researcher, Operational researcher, Business analyst, Chartered accountant,Financial manager, Financial trader, Insurance underwriter, Machine learning engineer etc.

Eligibility

Students should complete 10+2 in Science (Physics, Chemistry and Mathematics) with at   least 50% of marks.

Introduction to the Course:

Our integrated MSC programme, taught by world-class researchers, will give you a structured foundation of algebra, calculus, number theory, statistics and mathematical modelling. You will acquire skills and knowledge from an exceptionally broad range of topics covering Pure and Applied Mathematics, Statistics and Operational Research, shaping your programme to fit your interests and ambitions. The 5-year integrated M.Sc Mathematics offered by the Department of Mathematics will enable students for initiating many research programmes, theoretical and practical in nature. Employment opportunities for people qualified with M.Sc. in Mathematics are available in the form of teaching positions in various schools and colleges all over India and abroad. They can work as Scientists and Research Associates in highly reputed institutions, like, ISRO, DRDO, CSIR etc. In addition to the above, they also find lucrative jobs and careers in software industries. Syllabus is framed in such a way that the candidates will be competent enough to take up various competitive examinations.  

What are the learning outcomes?.

  • Students will develop problem-solving and critical thinking skills and use these skills to solve complex computing problems.
  • Apply mathematical foundations to the discipline of computer science.
  • Understand the theoretical and practical significance of computational theory and its application to important real-world problem domains.
  • Determine the correctness and efficiency of the design of a software system.
  • Students will be able to use the knowledge of computer Science to understand and solve problems of pure and applied mathematics.
  • Students will also gain knowledge of college level physics and chemistry and they can apply that wherever it is required.
  • Developing communication skills and other soft skills.
  • Introduction to basic concept of Scientific Research.

Eligibility

50% overall in 10+2 with respective subjects

View Course Structure

Introduction to the course:

This unique and innovative M.Sc. (Tech.) in Statistics and Data Science offers the opportunity to develop data science skills from a wide range of disciplines. Our goal is to provide you with the skill base to become a responsive scientist, who can work in a variety of settings and meet the challenges and reap the benefits of interdisciplinary team working. There is an acute shortage of skilled workers across the globe and this qualification will provide a strong boost to your employability profile.

This course will give student a combination of analytical, technical and presentation skills that will allow you to convert data into valuable insights that support decision making. Student will develop knowledge of the fundamental principles and technologies that support the disciplines of statistics and computing with an emphasis on the skills and theories required in data science and analytics. You will learn how to apply cutting-edge mathematics, statistics and computer science techniques and tools to collect, store, prepare, analyse and visualise data, while analysing and understanding organisations’ operations, environment and related issues.

What are the learning outcomes?

By the end of a degree program in Statistics and Data Science, students are expected to have:

  • Knowledge in Statistics and Data Science: Understand the basic concepts, fundamental principles and the scientific theories related to Statistics and Data Science.
  • Abstract thinking: Ability to absorb and understand the abstract concepts that lead to various advanced theories in Statistics and Data Science.
  • Modelling and solving: Ability in modelling and solving problems by identifying and employing the appropriate existing theories and methods.
  • Advanced theories and methods: Understand advanced theories and methods to design solutions for complex statistical problems in Data Science.
  • Applications in Engineering and Sciences: Understand the role of statistics and apply the same to solve the real life problems in various fields of study.
  • Modern software tool usage: Acquire the skills in handling scientific tools towards problem solving and solution analysis in Data Science.

Specialisations: List of Optional papers

Optional I Optional II Optional III
Representations and Algorithms for Computational Molecular Biology Machine Learning Geo-statistics
Data Driven Medicine Convolutional  Neural Networks for Visual Recognition Business Intelligence from Big Data
Modern Statistics for Modern Biology Mining Massive Data Sets Human Neuroimaging Methods
Social and Information Network Analysis Topics in Computer Graphics Paradigms for Computing with Data

 

Internships/Project work

As this course start from coming session 2019-20, registered students belong to this course may apply for summer internship programs during semester break in different public /private companies, Research institutes, ISI Kolkata, IITs, HRI, TIFR, and State Universities etc.

Placement & Career Opportunities / Research Opportunities

  • Civil service like Indian Statistical Services & Indian Economic Services exams.
  • Data Science also has opportunities as Actuarial analyst, Data analyst, Data scientist, Financial risk analyst, Investment analyst, Market researcher, Operational researcher, Business analyst, Business Intelligence Analyst, Chartered accountant, Financial manager, Financial trader, Insurance underwriter, Machine learning engineers

Eligibility

50% overall in Graduation with respective subjects

View Course Structure

Introduction to the course:

A master’s degree is a postgraduate degree for students who want to become more skilled or specialized in a particular discipline. While bachelor’s and other undergraduate degrees typically give a relatively broad overview of a particular area of study, master’s degrees tend to be more focused and allow students to develop the depth of their knowledge in a particular subject, putting them on the right course to become leaders in their fields.

A postgraduate degree in applied mathematics allows students to concentrate on advanced mathematical methods that tie together all the different forms of mathematics they have already learned at under graduate level. This degree tends to have a heavy focus on analysis and theory along with practical uses of mathematics.

An M.Sc. in Applied Mathematics gives students who want to work in science, engineering, or computing a solid core education as well as in content development, online educational support system. More over this degree will be extending the knowledge and analytical skills of a student to the further research areas in the state of the art research environment.

In brief:

  1. Provides high quality education in Applied Mathematics within an environment committed to excellence in teaching, research and industry.
  2. Attracts well qualified students and provides intellectual challenge in a structure containing an appropriate amount of flexibility, so that students can develop their special interest.
  3. Teaches and provides the opportunities to learn a core of advanced Applied Mathematics, together with a range of more specialized options.
  4. Introduces students to a wide range of applications of Mathematics.
  5. Equips students with a range of mathematical skills in problem solving, project work and presentation to enable them to take prominent roles in a wide spectrum of employment.
  6. Provides further breadth and depth of Applied Mathematics beyond B.Sc. at the level of two year of M.Sc. curriculum.

What are the learning outcomes?

Upon successful completion of the programme, students will have knowledge and understanding of:

Knowledge and Understanding:

  1. The fundamentals of Applied Mathematics as a rigorous living discipline in its own right.
  2. The application of Applied Mathematics as a language to a wide range of situations relevant to research and industry
  3. The importance of precision of argument.
  4. Problem solving strategies and methods (including basic computational skills)
  5. A selection of subjects which students study in greater depth, according to their interests, leading to current developments at the frontiers of the subject.
  6. A particular research topic agreed with a Supervisor, on which the student writes an original project work in his or her own words

Skills and other attributes:

Upon successful completion of the programme, students will develop intellectual, practical, and transferable skills in following areas:

A. Intellectual Skills

A1. Ability to assimilate and understand a large body of complex concepts and their inter relationships

A2. Ability to understand mathematical argument and deductive reasoning. Students will learn to use the formal processes of mathematical proof in the development of mathematical theories

A3. Ability to use a structured mathematical/analytical approach to problem solving, and an understanding of the importance of assumptions made and consequences of their violation.

A4. Ability to use mathematics to describe and model applications, including approximate solution methods, and to interpret results

A5. Ability to carry out extended investigative mathematical work as an individual.

B. Practical Skills

B1. Ability to carry out investigative project work as an individual.

B2. Proficiency in the use of symbolic and numerical software as part of practical  computation.

C. Transferable Skills

C1. Ability to solve open ended problems and problems with well defined solutions by formulating problems in precise terms, identifying key issues and trying different approaches in order to make progress.

C2. Ability to carry out an independent investigation using text books and other available literature, searching databases and interacting with colleagues and staff as necessary to extract important information.

C3. Ability to effectively communicate information in a clear and concise manner orally, on paper and using IT.

C4. Ability to use analytical skills, paying attention to detail and using technical language correctly, to manipulate precise and intricate ideas, to construct logical arguments.

C5. Development of IT skills for communication and analysis.

C6. Ability to work independently, use initiative, organize oneself to meet deadlines, plan and execute an extended project.

C7. Ability to work and interact constructively with others.

Eligibility:

B.Sc Mathematics (Honours) with 50% Marks

 

View Course Structure

Specialisations offered in:

  1. Hydrodynamics and Solute transport modelling Analytical/Numerical
  2. Fuzzy system
  3. Fuzzy set theory
  4. Decision making
  5. Functional analysis
  6. Probability theory
  7. Statistical convergence, ideal convergence.
  8. Nonlinear dynamics
  9. Mathematical Modelling
  10. Epidemiology
  11. Fractional differential equation

Eligibility:

  • Masters Degree from a recognized University. Qualified In NET/SET.
B.Sc. (Hons.) in Mathematics

Introduction to the course:

The Mathematics Department serves a very large number of undergraduate students. In addition to our teaching staff, we work with Learning Support Services  to provide instructional assistance (tutoring) and the division administers Mathematics Placement in order to place students in an appropriate course.  The Courseprovides an excellent foundation in mathematics, which can serve a student well in careers that require quantitative analysis.  Our programme, taught by world-class researchers, will give you a structured foundation of algebra, calculus, number theory, statistics and mathematical modelling. You will acquire skills and knowledge from an exceptionally broad range of topics covering Pure and Applied Mathematics, Statistics and Operational Research, shaping your programme to fit your interests and ambitions. Graduates from this programme are highly sought after by employers in finance, commerce, industry, education, and research. For those wishing to develop these ideas even further we also offer a 5-year integrated M.SC programme.

What are the learning outcomes?

Students who successfully complete the BSc in mathematics will be able to:

  • Perform computations in higher mathematics
  • Write and understand basic proofs
  • Develop and maintain problem-solving skills
  • Use mathematical ideas to model real-world problems
  • Communicate mathematical ideas with others
  • Utilize technology to address mathematical ideas
  • Think in a critical manner
  • Formulate and develop mathematical arguments in a logical manner.

With that skill set, graduates are well prepared to begin rewarding careers in:

  • Education
  • Statistics
  • Actuarial science
  • Mathematics, both pure and applied

Specialisations:

DSE – I (Theory)

  • Mathematical Finance [SMA33105]
  • Portfolio Optimization  [SMA33107]
  • Nonlinear Dynamics [SMA33109]

DSE – II (Theory)

  • Number Theory[SMA33113]
  • Set theory and Metric Spaces[SMA33115]

DSE – III (Theory)

  • Bio-Mathematics [ SMA33106]
  • Mathematical Modeling[ SMA33108]

Internship & Project work destinations:

ISI Kolkata/IIT Kharagpur

 

Placement & Career Opportunities / Research Opportunities

  • Opted Master degree course at Central University of Rajasthan
  • Opted MBA at Ramachandran International Institute Of Management, Pune

Eligibility

50% overall in 10+2 with respective subjects.

View Course Structure
B.Sc. (Hons) in Statistics and Data Analytics

Introduction to the course:

This course has been frame out on the based on fundamental of Statistics and its use in data analytics with the aim that student under this course enriched by the core of modern data analytics that turn data into intelligence to inform decision-making and solve challenging problems. Applications range from economics and medicine, to social and environmental sciences. This degree covers theoretical and applied elements of modern statistics, and provides training and practical experience in modelling, analysing and interpreting real data required in the economy, industry and research. The early years of the degree cover basic mathematics, probability and statistics. The final years focus on advanced specialist topics in statistical modelling, data science, machine learning, probability and stochastic processes.

What are the learning outcomes?

By the end of a degree program in Statistics and Data Analytics, a student will:

  • have the versatility to work effectively in a broad range of analytic, scientific, government, financial, health, technical and other positions.
  • have a broad background in Statistics and Data Analytics, an appreciation of how its various sub-disciplines are related, the ability to use techniques from different areas, and an in-depth knowledge about topics chosen from those offered through the department.
  • Graduates will: recognize the importance and value of mathematical and statistical thinking, training, and approach to problem solving, on a diverse variety of disciplines;
  • Obtain, clean/process and transform data.
  • Analyze and interpret data using an ethically responsible approach.
  • Use appropriate models of analysis, assess the quality of input, derive insight from results, and investigate potential issues.
  • Apply computing theory, languages and algorithms, as well as mathematical and statistical models, and the principles of optimization to appropriately formulate and use data analyses.
  • Formulate and use appropriate models of data analysis to solve hidden solutions to business-related challenges.
  • Perform well in a group.
  • Interpret data findings effectively to any audience, orally, visually and in written formats.

Internship and Project Work:

As this course start from coming session 2019-20, registered students belong to this course may apply for summer internship programs during semester break in different public /private companies, Research institutes, ISI Kolkata, IITs, HRI, TIFR, and State Universities etc.

Placement & Career/Research Opportunities:

Data scientists are required in every sector, carrying out statistical analysis or mining data      on social media, so our course can open the door to almost any industry, from health, to   government, to publishing. After completion of degree, a student can also start his/her career as Actuarial analyst, Data analyst, Data scientist, Financial risk analyst, Investment analyst, Market researcher, Operational researcher, Business analyst, Chartered accountant,Financial manager, Financial trader, Insurance underwriter, Machine learning engineer etc.

Eligibility

Students should complete 10+2 in Science (Physics, Chemistry and Mathematics) with at   least 50% of marks.

Integrated M.Sc. in Maths and Computing

Introduction to the Course:

Our integrated MSC programme, taught by world-class researchers, will give you a structured foundation of algebra, calculus, number theory, statistics and mathematical modelling. You will acquire skills and knowledge from an exceptionally broad range of topics covering Pure and Applied Mathematics, Statistics and Operational Research, shaping your programme to fit your interests and ambitions. The 5-year integrated M.Sc Mathematics offered by the Department of Mathematics will enable students for initiating many research programmes, theoretical and practical in nature. Employment opportunities for people qualified with M.Sc. in Mathematics are available in the form of teaching positions in various schools and colleges all over India and abroad. They can work as Scientists and Research Associates in highly reputed institutions, like, ISRO, DRDO, CSIR etc. In addition to the above, they also find lucrative jobs and careers in software industries. Syllabus is framed in such a way that the candidates will be competent enough to take up various competitive examinations.  

What are the learning outcomes?.

  • Students will develop problem-solving and critical thinking skills and use these skills to solve complex computing problems.
  • Apply mathematical foundations to the discipline of computer science.
  • Understand the theoretical and practical significance of computational theory and its application to important real-world problem domains.
  • Determine the correctness and efficiency of the design of a software system.
  • Students will be able to use the knowledge of computer Science to understand and solve problems of pure and applied mathematics.
  • Students will also gain knowledge of college level physics and chemistry and they can apply that wherever it is required.
  • Developing communication skills and other soft skills.
  • Introduction to basic concept of Scientific Research.

Eligibility

50% overall in 10+2 with respective subjects

View Course Structure
M.Sc. (Tech.) in Statistics and Data Science

Introduction to the course:

This unique and innovative M.Sc. (Tech.) in Statistics and Data Science offers the opportunity to develop data science skills from a wide range of disciplines. Our goal is to provide you with the skill base to become a responsive scientist, who can work in a variety of settings and meet the challenges and reap the benefits of interdisciplinary team working. There is an acute shortage of skilled workers across the globe and this qualification will provide a strong boost to your employability profile.

This course will give student a combination of analytical, technical and presentation skills that will allow you to convert data into valuable insights that support decision making. Student will develop knowledge of the fundamental principles and technologies that support the disciplines of statistics and computing with an emphasis on the skills and theories required in data science and analytics. You will learn how to apply cutting-edge mathematics, statistics and computer science techniques and tools to collect, store, prepare, analyse and visualise data, while analysing and understanding organisations’ operations, environment and related issues.

What are the learning outcomes?

By the end of a degree program in Statistics and Data Science, students are expected to have:

  • Knowledge in Statistics and Data Science: Understand the basic concepts, fundamental principles and the scientific theories related to Statistics and Data Science.
  • Abstract thinking: Ability to absorb and understand the abstract concepts that lead to various advanced theories in Statistics and Data Science.
  • Modelling and solving: Ability in modelling and solving problems by identifying and employing the appropriate existing theories and methods.
  • Advanced theories and methods: Understand advanced theories and methods to design solutions for complex statistical problems in Data Science.
  • Applications in Engineering and Sciences: Understand the role of statistics and apply the same to solve the real life problems in various fields of study.
  • Modern software tool usage: Acquire the skills in handling scientific tools towards problem solving and solution analysis in Data Science.

Specialisations: List of Optional papers

Optional I Optional II Optional III
Representations and Algorithms for Computational Molecular Biology Machine Learning Geo-statistics
Data Driven Medicine Convolutional  Neural Networks for Visual Recognition Business Intelligence from Big Data
Modern Statistics for Modern Biology Mining Massive Data Sets Human Neuroimaging Methods
Social and Information Network Analysis Topics in Computer Graphics Paradigms for Computing with Data

 

Internships/Project work

As this course start from coming session 2019-20, registered students belong to this course may apply for summer internship programs during semester break in different public /private companies, Research institutes, ISI Kolkata, IITs, HRI, TIFR, and State Universities etc.

Placement & Career Opportunities / Research Opportunities

  • Civil service like Indian Statistical Services & Indian Economic Services exams.
  • Data Science also has opportunities as Actuarial analyst, Data analyst, Data scientist, Financial risk analyst, Investment analyst, Market researcher, Operational researcher, Business analyst, Business Intelligence Analyst, Chartered accountant, Financial manager, Financial trader, Insurance underwriter, Machine learning engineers

Eligibility

50% overall in Graduation with respective subjects

View Course Structure
M.Sc. in Applied Maths

Introduction to the course:

A master’s degree is a postgraduate degree for students who want to become more skilled or specialized in a particular discipline. While bachelor’s and other undergraduate degrees typically give a relatively broad overview of a particular area of study, master’s degrees tend to be more focused and allow students to develop the depth of their knowledge in a particular subject, putting them on the right course to become leaders in their fields.

A postgraduate degree in applied mathematics allows students to concentrate on advanced mathematical methods that tie together all the different forms of mathematics they have already learned at under graduate level. This degree tends to have a heavy focus on analysis and theory along with practical uses of mathematics.

An M.Sc. in Applied Mathematics gives students who want to work in science, engineering, or computing a solid core education as well as in content development, online educational support system. More over this degree will be extending the knowledge and analytical skills of a student to the further research areas in the state of the art research environment.

In brief:

  1. Provides high quality education in Applied Mathematics within an environment committed to excellence in teaching, research and industry.
  2. Attracts well qualified students and provides intellectual challenge in a structure containing an appropriate amount of flexibility, so that students can develop their special interest.
  3. Teaches and provides the opportunities to learn a core of advanced Applied Mathematics, together with a range of more specialized options.
  4. Introduces students to a wide range of applications of Mathematics.
  5. Equips students with a range of mathematical skills in problem solving, project work and presentation to enable them to take prominent roles in a wide spectrum of employment.
  6. Provides further breadth and depth of Applied Mathematics beyond B.Sc. at the level of two year of M.Sc. curriculum.

What are the learning outcomes?

Upon successful completion of the programme, students will have knowledge and understanding of:

Knowledge and Understanding:

  1. The fundamentals of Applied Mathematics as a rigorous living discipline in its own right.
  2. The application of Applied Mathematics as a language to a wide range of situations relevant to research and industry
  3. The importance of precision of argument.
  4. Problem solving strategies and methods (including basic computational skills)
  5. A selection of subjects which students study in greater depth, according to their interests, leading to current developments at the frontiers of the subject.
  6. A particular research topic agreed with a Supervisor, on which the student writes an original project work in his or her own words

Skills and other attributes:

Upon successful completion of the programme, students will develop intellectual, practical, and transferable skills in following areas:

A. Intellectual Skills

A1. Ability to assimilate and understand a large body of complex concepts and their inter relationships

A2. Ability to understand mathematical argument and deductive reasoning. Students will learn to use the formal processes of mathematical proof in the development of mathematical theories

A3. Ability to use a structured mathematical/analytical approach to problem solving, and an understanding of the importance of assumptions made and consequences of their violation.

A4. Ability to use mathematics to describe and model applications, including approximate solution methods, and to interpret results

A5. Ability to carry out extended investigative mathematical work as an individual.

B. Practical Skills

B1. Ability to carry out investigative project work as an individual.

B2. Proficiency in the use of symbolic and numerical software as part of practical  computation.

C. Transferable Skills

C1. Ability to solve open ended problems and problems with well defined solutions by formulating problems in precise terms, identifying key issues and trying different approaches in order to make progress.

C2. Ability to carry out an independent investigation using text books and other available literature, searching databases and interacting with colleagues and staff as necessary to extract important information.

C3. Ability to effectively communicate information in a clear and concise manner orally, on paper and using IT.

C4. Ability to use analytical skills, paying attention to detail and using technical language correctly, to manipulate precise and intricate ideas, to construct logical arguments.

C5. Development of IT skills for communication and analysis.

C6. Ability to work independently, use initiative, organize oneself to meet deadlines, plan and execute an extended project.

C7. Ability to work and interact constructively with others.

Eligibility:

B.Sc Mathematics (Honours) with 50% Marks

 

View Course Structure
PhD in Mathematics

Specialisations offered in:

  1. Hydrodynamics and Solute transport modelling Analytical/Numerical
  2. Fuzzy system
  3. Fuzzy set theory
  4. Decision making
  5. Functional analysis
  6. Probability theory
  7. Statistical convergence, ideal convergence.
  8. Nonlinear dynamics
  9. Mathematical Modelling
  10. Epidemiology
  11. Fractional differential equation

Eligibility:

  • Masters Degree from a recognized University. Qualified In NET/SET.