Building Analytical and Computing Excellence for Emerging Fields
The B.E. Mathematics and Computing degree from BITS Pilani at the Dubai Campus is an exceptional interdisciplinary course, combining advanced mathematics with modern computing techniques. This programme provides students with all the theoretical knowledge required to solve real world problems through advanced research and development, thus preparing them for exciting careers in the new emerging markets. Students who enter this programme will learn all core subjects, including calculus, probability, statistics as well as how to develop software and analytical modelling skills. Overall, graduates from this programme possess excellent problem-solving skills, strong mathematical and computer science skills and the expertise to obtain rewarding positions in emerging fields.
Design a Degree That Works for You
At BITS Pilani, your academic path is not Linear. It allow you to customise your learning path
according to your aspirations, goals and interest.
The structure of degree programmes and academic regulations also provides certain other flexibilities like choice of electives, number of electives, repetition of courses, departure from normal pace, withdrawal from or substitution of course(s), etc.
Students interested in exploring courses beyond the scope of their curriculum can opt to audit them. This option is for casual learners who are not enrolled in a degree programme.Courses such as Foreign Languages and Music are offered in addition to the core degree programmes. Students may take these courses on an audit basis, subject to the payment of additional fees.
High-performing students may transfer to:
Higher Degree or Ph.D. programmes
Between Ph.D. and Higher Degree levels (based on academic standing). This flexibility supports seamless progression for research-driven students.
One of the most popular flexibilities offered by our educational structure is the dual degree scheme, under which students concurrently work towards completing two integrated first degrees within a reasonable timeframe. All students admitted to Group B programmes are also eligible to work under this scheme for one of the Group A programmes. Assignments to programmes are made based on individual performance during the first year.
In the assignment of dual degrees, first priority is given to students in Group B seeking a second degree under this scheme from among the programmes in Group A. After fully satisfying the known needs of the first priority, a second operation is done to consider the other priority, namely, students in any group seeking a second degree from amongst the programmes in another group. While it would be academically and procedurally acceptable for a student admitted to Group A or B programmes to seek a second degree in Group C in the dual degree scheme, the reverse process is not normally possible. However, a student admitted to Group C will be eligible to compete for a dual degree in any degree in Group C, or any degree in Group B or MMS, but only in Group A.
Practice School
The Original Experiential Learning Model
The Practice School Programme is a hallmark of BITS Pilani’s experiential learning approach. It provides students with an opportunity to practice what they have learnt in global organisations under the supervision of a mentor. Students work on cutting-edge technologies and have the option to practice in their discipline of study or cross-disciplinary areas. In addition to providing students with an opportunity to play roles that require multifunctional skills, this flagship programme also offers many students the chance to secure a PPO.
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Practice School-I
Practice School I is an eight-week course conducted during the summer term after the second year of study. Students are stationed in an organisation during this programme, and after a comprehensive orientation, students largely learn through observation and work on group projects, under the guidance and mentorship of industry experts and a faculty member from BITS. This not only serves as a first exposure for students to the corporate world but also helps nurture their personality traits, communication, and presentation skills.
Practice School-II
Practice School-II offered in the final year of study is a TWENTY-TWO-week full-time program. First-degree students in their final year of study can register for this program either during the first semester or the second semester, and Dual-Degree students can register for a double-semester PS-II program. For higher degree students, the course is titled Practice School, and such students can register for it in their final semester of study.
Practice School Process
Practice School I is an eight-week course conducted during the summer term after the second year of study. Students are stationed in an organisation during this programme, and after a comprehensive orientation, students largely learn through observation and work on group projects, under the guidance and mentorship of industry experts and a faculty member from BITS. This not only serves as a first exposure for students to the corporate world but also helps nurture their personality traits, communication, and presentation skills.
Programme Structure
Focus: Building strong foundations in mathematics, basic sciences, and core engineering principles, while developing analytical thinking, computational skills, and technical communication essential for advanced engineering studies.
Courses :
- Mathematics I
- Biology Laboratory
- General Biology
- Chemistry Laboratory
- General Chemistry
- Physics Laboratory
- Engineering Graphics
- Mechanics, Oscillations and Waves
- Mathematics II
- Workshop Practice
- Computer Programming
- Electrical Sciences
- Technical Report Writing
- Probability and Statistics
- Thermodynamics
Focus:Building rigorous foundations in mathematics and computing through linear algebra, discrete mathematics, programming, algorithms, and numerical methods, while strengthening analytical reasoning and problem-solving skills.
Courses :
- Mathematics III
- Linear Algebra and Applications
- Object Oriented Programming
- Discrete Mathematics
- Elementary Real Analysis
- Humanities Electives
- Environmental Studies
- Principles of Economics or Principles of Management
- Numerical Analysis
- Data Structures & Algorithms
- Numerical Optimisation
- Stochastic Calculus and Applications to Finance
- Scientific Computing Laboratory
Focus: Advancing expertise in algorithms, data science, mathematical modelling, and applied mathematics, while enabling specialisation through electives and interdisciplinary learning.
Courses :
- Algebra I
- Foundations of Data Science
- Statistical Data Analysis
- Mathematical Modelling
- Humanities Electives
- Discipline Electives
- Design and Analysis of Algorithms
- Computational Partial Differential Equations
- Differential Equations
- Open Elective
Focus: Advanced specialisation through electives, industry practice, or research.
Courses :
- Open Electives
- Discipline Electives
- Practice School II or Thesis
Industry-Grade Labs for Structures, Geotechnics & Materials
Faculty Teaching the Language of Tomorrow’s Technology
Amit Setia
Associate Professor
Amiya Kumar Pani
Visiting Professor
Anil Kumar
Associate Professor