B.Sc Mathematics and Data Science is a dynamic three - year UGC recognised program designed to merge mathematical theory with practical data science skills aligned with NEP 2020. This program empowers students to analyse and interpret complex data, using cutting-edge tools and techniques in statistics, machine learning, AI and predictive analytics and ready to tackle complex challenges and seize high-demand opportunities across industries.
SCHOOL OF BASIC AND APPLIED SCIENCES
B.Sc Mathematics and Data Science is an interdisciplinary program designed with a unique curriculum that meets industry needs and equips the students with the ability to apply analytical thinking and technical skills in data-driven problem solving. The Program provides in-depth knowledge in core mathematical concepts alongside practical experience in data analysis, machine learning and artificial intelligence. The curriculum includes specializations in predictive Analysis, Regression Techniques and Time series Analysis, Machine learning, Data Engineering, Data visualization, Big Data analytics, Artificial Intelligence, statistical concept of Deep leaning, Real analysis, Integral transform, Business Analytics and Statistical Inference. Also, students will gain hands on experience using industry-leading tools like Survey Sampling Techniques, Power BI, Statistical software and programming such as R, Python and Matlab .With a strong focus on critical thinking, data-driven insights and advanced analytical techniques, students will be prepared to solve complex problem in sectors like Finance, Healthcare, Technology, Industry and more. To develop the practical skills of a student, the majority of courses within the syllabus are linked to practical work. Apart from regular classroom study, the students are expected to spend a considerable amount of time on self-study. The curriculum also emphasizes project-based learning, where the students work on projects as part of courses. This program empowers students with a powerful blend of mathematical expertise and technical skills, preparing them to excel in the rapidly evolving world of data science
SCHOOL OF BASIC AND APPLIED SCIENCES
Program Structure
6 semesters (3 years)
Credit based
Electives to be chosen in 3rd, 4th, 5th and 6th semesters
Project work in 6th semester
SCHOOL OF BASIC AND APPLIED SCIENCES
VISION
To be a worldwide Centre for Excellence in Mathematics and scientific computing for the growth of Science and Technology
MISSION
M1: Imparting of quality mathematics education and the inculcating of the spirit of research through innovative teaching and research methodologies.
M2: To achieve high standards of excellence in generating and propagating knowledge in Mathematics.
M3: To build a community that champions and promotes the mathematician in everyone.
SCHOOL OF BASIC AND APPLIED SCIENCES
PROGRAMME EDUCATIONAL OBJECTIVES (PEO)
The Program Educational Objectives (PEOs) for Mathematics and Data Science describe accomplishments that students are expected to attain within three years after graduation.
PEO I: To equip students with foundational knowledge in mathematics and data science to excel as professionals in diverse fields.
PEO II: To prepare them to pursue higher studies and conduct research in mathematics, statistics, and data science.
PEO III: To develop problem-solving and analytical skills to create data-driven models for real-world applications.
PEO IV: To cultivate technical and interpersonal skills for careers in education, IT, business analytics, and related domains.
PROGRAM OUTCOMES (ALIGNED WITH GRADUATE ATTRIBUTES) (PO)
At the end of this program, graduates will be able to:
PO1: Scholarship of Knowledge: Acquire in-depth knowledge of specific discipline or professional area, including wider and global perspective, with an ability to discriminate, evaluate, analyze and synthesize existing and new knowledge, and integration of the same for enhancement of knowledge.
PO2: Critical Thinking: Analyze complex mathematical problems critically, apply independent judgment for synthesizing information to make intellectual and/or creative advances for conducting research in a wider, theoretical, practical and policy context.
PO3: Problem Solving: Think laterally and originally, conceptualize and solve mathematical problems, evaluate a wide range of potential solutions for those and arrive at feasible, optimal Solutions after considering public health and safety, cultural, societal and environmental factors in the core areas of expertise.
PO4: Research Skill: Extract information pertinent to unfamiliar problems through literature survey and experiments, apply appropriate research methodologies, techniques and tools, design, conduct experiments, analyze and interpret data, demonstrate higher order skill and view things in a broader perspective, contribute individually / in group(s) to the development of scientific/ technological / programming knowledge in one or more domains of mathematics
PO5: Usage of Modern Tools: Create, select, learn, and apply appropriate techniques, resources, and IT tools, including prediction and modeling, to complex mathematical activities with an understanding of the limitations.
PO6: Collaborative and Multidisciplinary Work: Process knowledge and understanding of group dynamics, recognize opportunities and contribute positively to collaborate-multidisciplinary scientific research, demonstrate a capacity for self-management and teamwork, decision—making based on open-mindedness, objectivity and rational analysis in order to achieve common goals and further the learning of themselves as well as others.
PO7: Project Management and Finance: Demonstrate knowledge and understanding of mathematical and management principles and apply the same one’s own work, as a member and leader in a team, manage projects efficiently in respective disciplines and multidisciplinary environments after consideration of economic and financial factors.
PO8: Communication: Communicate with mathematical community, and with society at large, regarding complex mathematical activities confidentially an effectively, such as, being able to comprehend and write effective reports and design documentation by adhering to appropriate standards, make effective presentations, and give and receive clear instructions.
PO9: Life-Long Learning: Recognize the need for, and have the preparation and ability to engage in life-long learning independently, with a high level of enthusiasm and commitment to improve knowledge and competence continuously.
PO10: Ethical Practices and Social Responsibility: Acquire professional and intellectual integrity, professional code of conduct, ethics of research and scholarship, consideration of the impact of research outcomes on professional practices and an understanding of responsibility to contribute to the community for sustainable development of society.
PO11: Independent and Reflective Learning: Observe and examine critically the outcomes of one’s actions and make corrective measures subsequently, and learn from mistakes without depending on external feedback.
PO12: Environment and Sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge and need for sustainable development.
PROGRAM SPECIFIC OUTCOMES (PSO)
PSO1: Apply mathematical and analytical tools to solve interdisciplinary problems.
PSO2: Develop skills in abstract mathematics, data science, and modeling.
PSO3: Analyze and interpret data for decision-making and visualization.
SCHOOL OF BASIC AND APPLIED SCIENCES
A pass in 12th Standard with Mathematics or Computer Science or Statistics or Business Mathematics courses.
B.Sc Mathematics and Data Science is a dynamic three - year UGC recognised program designed to merge mathematical theory with practical data science skills aligned with NEP 2020. This program empowers students to analyse and interpret complex data, using cutting-edge tools and techniques in statistics, machine learning, AI and predictive analytics and ready to tackle complex challenges and seize high-demand opportunities across industries.
SCHOOL OF BASIC AND APPLIED SCIENCES
B.Sc Mathematics and Data Science is an interdisciplinary program designed with a unique curriculum that meets industry needs and equips the students with the ability to apply analytical thinking and technical skills in data-driven problem solving. The Program provides in-depth knowledge in core mathematical concepts alongside practical experience in data analysis, machine learning and artificial intelligence. The curriculum includes specializations in predictive Analysis, Regression Techniques and Time series Analysis, Machine learning, Data Engineering, Data visualization, Big Data analytics, Artificial Intelligence, statistical concept of Deep leaning, Real analysis, Integral transform, Business Analytics and Statistical Inference. Also, students will gain hands on experience using industry-leading tools like Survey Sampling Techniques, Power BI, Statistical software and programming such as R, Python and Matlab .With a strong focus on critical thinking, data-driven insights and advanced analytical techniques, students will be prepared to solve complex problem in sectors like Finance, Healthcare, Technology, Industry and more. To develop the practical skills of a student, the majority of courses within the syllabus are linked to practical work. Apart from regular classroom study, the students are expected to spend a considerable amount of time on self-study. The curriculum also emphasizes project-based learning, where the students work on projects as part of courses. This program empowers students with a powerful blend of mathematical expertise and technical skills, preparing them to excel in the rapidly evolving world of data science
SCHOOL OF BASIC AND APPLIED SCIENCES
Program Structure
6 semesters (3 years)
Credit based
Electives to be chosen in 3rd, 4th, 5th and 6th semesters
Project work in 6th semester
SCHOOL OF BASIC AND APPLIED SCIENCES
VISION
To be a worldwide Centre for Excellence in Mathematics and scientific computing for the growth of Science and Technology
MISSION
M1: Imparting of quality mathematics education and the inculcating of the spirit of research through innovative teaching and research methodologies.
M2: To achieve high standards of excellence in generating and propagating knowledge in Mathematics.
M3: To build a community that champions and promotes the mathematician in everyone.
SCHOOL OF BASIC AND APPLIED SCIENCES
PROGRAMME EDUCATIONAL OBJECTIVES (PEO)
The Program Educational Objectives (PEOs) for Mathematics and Data Science describe accomplishments that students are expected to attain within three years after graduation.
PEO I: To equip students with foundational knowledge in mathematics and data science to excel as professionals in diverse fields.
PEO II: To prepare them to pursue higher studies and conduct research in mathematics, statistics, and data science.
PEO III: To develop problem-solving and analytical skills to create data-driven models for real-world applications.
PEO IV: To cultivate technical and interpersonal skills for careers in education, IT, business analytics, and related domains.
PROGRAM OUTCOMES (ALIGNED WITH GRADUATE ATTRIBUTES) (PO)
At the end of this program, graduates will be able to:
PO1: Scholarship of Knowledge: Acquire in-depth knowledge of specific discipline or professional area, including wider and global perspective, with an ability to discriminate, evaluate, analyze and synthesize existing and new knowledge, and integration of the same for enhancement of knowledge.
PO2: Critical Thinking: Analyze complex mathematical problems critically, apply independent judgment for synthesizing information to make intellectual and/or creative advances for conducting research in a wider, theoretical, practical and policy context.
PO3: Problem Solving: Think laterally and originally, conceptualize and solve mathematical problems, evaluate a wide range of potential solutions for those and arrive at feasible, optimal Solutions after considering public health and safety, cultural, societal and environmental factors in the core areas of expertise.
PO4: Research Skill: Extract information pertinent to unfamiliar problems through literature survey and experiments, apply appropriate research methodologies, techniques and tools, design, conduct experiments, analyze and interpret data, demonstrate higher order skill and view things in a broader perspective, contribute individually / in group(s) to the development of scientific/ technological / programming knowledge in one or more domains of mathematics
PO5: Usage of Modern Tools: Create, select, learn, and apply appropriate techniques, resources, and IT tools, including prediction and modeling, to complex mathematical activities with an understanding of the limitations.
PO6: Collaborative and Multidisciplinary Work: Process knowledge and understanding of group dynamics, recognize opportunities and contribute positively to collaborate-multidisciplinary scientific research, demonstrate a capacity for self-management and teamwork, decision—making based on open-mindedness, objectivity and rational analysis in order to achieve common goals and further the learning of themselves as well as others.
PO7: Project Management and Finance: Demonstrate knowledge and understanding of mathematical and management principles and apply the same one’s own work, as a member and leader in a team, manage projects efficiently in respective disciplines and multidisciplinary environments after consideration of economic and financial factors.
PO8: Communication: Communicate with mathematical community, and with society at large, regarding complex mathematical activities confidentially an effectively, such as, being able to comprehend and write effective reports and design documentation by adhering to appropriate standards, make effective presentations, and give and receive clear instructions.
PO9: Life-Long Learning: Recognize the need for, and have the preparation and ability to engage in life-long learning independently, with a high level of enthusiasm and commitment to improve knowledge and competence continuously.
PO10: Ethical Practices and Social Responsibility: Acquire professional and intellectual integrity, professional code of conduct, ethics of research and scholarship, consideration of the impact of research outcomes on professional practices and an understanding of responsibility to contribute to the community for sustainable development of society.
PO11: Independent and Reflective Learning: Observe and examine critically the outcomes of one’s actions and make corrective measures subsequently, and learn from mistakes without depending on external feedback.
PO12: Environment and Sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge and need for sustainable development.
PROGRAM SPECIFIC OUTCOMES (PSO)
PSO1: Apply mathematical and analytical tools to solve interdisciplinary problems.
PSO2: Develop skills in abstract mathematics, data science, and modeling.
PSO3: Analyze and interpret data for decision-making and visualization.
SCHOOL OF BASIC AND APPLIED SCIENCES
A pass in 12th Standard with Mathematics or Computer Science or Statistics or Business Mathematics courses.
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