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B.Tech. in Mathematics & Computing
Mathematics and Computing is a driving force behind today’s technological advancements, powering innovations in data science, intelligent systems, and computational solutions. The B.Tech in Mathematics and Computing is a distinctive program that combines the depth of mathematical theory with the innovation of computational science.
Designed for analytically inclined students, the program offers rigorous training in areas such as scientific computing, optimization, statistics, artificial intelligence, machine learning, and neural networks. With a strong foundation in mathematics and advanced computing, students develop the skills to analyze data, design intelligent systems, and solve complex problems across domains like technology, finance, and scientific research. The program also offers a unique opportunity for academically motivated students to pursue an Integrated Ph.D. after the fourth year within the institute.
Academic Flexibility and Future Pathways
- Direct admission to the PhD programme of the Institute with fellowship and without the requirement of GATE qualification is possible for B.Tech students with CGPA ≥8.0 till 6th semester. The candidate will not have to pursue 7th and 8th semesters of the B.Tech. programme while he/she will be starting the PhD course work and the stipend will be given for five years according to the PhD Rules and Regulations of the Institute for Regular PhD students. [B.Tech. regulations (Clause 17)]
- Top 10% students of each branch with CGPA > 8.0 till 6th semester without anybacklog may choose to pursue the last two semesters in IIT Madras leading to PhD in IIT Madras after the completion of 8th semester with CGPA > 8.0 as per the MoU between NIT Mizoram and IIT Madras. [B.Tech. regulations (Clause 17)]
Curriculum Highlights
The course offers a balanced blend of theoretical and applied subjects across mathematics, statistics, computer science, optimization, and data analytics. Students are trained in foundational and advanced topics through a wide range of core subjects, including:
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Mathematical Foundations: Real Analysis, Linear Algebra & Applications, Abstract Algebra, Differential Equations, Complex Analysis, Functional Analysis, Discrete Mathematics, Fluid Dynamics, Stochastic Calculus.
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Computational Techniques: Scientific Computing, Data Structures, Design and Analysis of Algorithms, Artificial Intelligence, Neural Networks, Machine Learning.
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Optimization and Statistics: Operations Research, Nonlinear Optimization: Theory & Algorithms, Probability and Statistics, Multivariate Statistics.
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Applied and Professional Studies: Database Management Systems, Theory of Computation, Managerial Methods, Economics.
Laboratory Training
Students gain hands-on experience through core laboratories tailored to reinforce the theoretical knowledge with practical skills:
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Data Analysis and Visualization using Python
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Data Structures Lab
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Scientific Computing Lab using MATLAB/Mathematica
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Operations Research Lab using C/C++
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Database Management System Lab
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Nonlinear Optimization Lab using R
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Artificial Intelligence Lab
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Machine Learning Lab
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Statistical Methods Lab
Career Opportunities
Graduates of this program are highly sought after in both industry and academia due to their strong analytical and computational capabilities. Career paths include:
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Data Scientist / Analyst
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Quantitative Analyst (Finance & Trading)
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Software Developer / Engineer
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AI / Machine Learning Engineer
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Operations Research Analyst
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Researcher in Applied Mathematics or Computational Sciences
Top tech firms, financial institutions, R&D centers, and analytics companies actively recruit from this program.
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