The BTech in Data Science and Engineering at Manipal Academy of Higher Education (MAHE), Dubai, is designed to equip students with a comprehensive understanding and hands-on expertise in cutting-edge fields such as Artificial Intelligence, Machine Learning, Data Science, and Big Data Technologies. This program caters to the increasing global demand for skilled data science professionals across diverse industries, including technology, healthcare, finance, and logistics.
Dubai, rapidly establishing itself as a center for technological innovation, offers a dynamic environment for graduates. As a result, students will be well-prepared to contribute to transformative projects such as Smart Dubai’s data-driven initiatives, personalized marketing in retail, and predictive analytics in the financial sector. Graduates of this program will be at the forefront of shaping the future of industries powered by data.
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Personalize your BTech journey with industry-relevant minor specialisations, including:
These specializations prepare you for high-demand roles and align with evolving technology trends.
Tailor your learning experience with a choice-based credit system that allows you to select electives based on your career aspirations and professional goals, ensuring a customized academic path.
Gain real-world skills through an industry-aligned curriculum featuring internships, live projects, and workshops with leading companies. This hands-on approach bridges the gap between academia and the demands of the tech industry.
Access advanced computing labs, cutting-edge software, and collaborative learning spaces. These world-class facilities empower students to innovate, experiment, and excel in technology and engineering domains.
The BTech Data Science and Engineering Program eligibility stands on essential requirements, which are as follows:
A BTech degree in Data Science and Engineering opens doors to diverse and dynamic career paths across industries such as technology, finance, healthcare, and e-commerce. Dubai’s strategic initiatives, including Smart Dubai and the UAE Artificial Intelligence Strategy 2031, are driving demand for professionals skilled in data science and analytics. Graduates are highly sought after for their analytical and problem-solving skills.
Here are some of the popular career paths:
In the initial phase, students build a strong foundation in mathematics, science, and core engineering principles. They'll also develop essential skills in communication, computer usage, and practical engineering applications.
| Semester 1 | Semester 2 |
|---|---|
| Computational Mathematics - I | Computational Mathematics - II |
| Applied Chemistry for Engineers | Applied Physics for Engineers |
| Fundamentals of Electrical Engineering | Fundamentals of Electronics |
| Programming for Problem Solving | Introduction to Object Oriented Programming |
| Engineering Mechanics & Smart Building | Basic Mechanical Engineering Science |
| Environmental Studies | Communication skills in English |
| Physical Fitness & Wellness | Data Visualisation |
| Computer Aided Engineering Graphics | Universal Human Values and Professional Ethics |
| Workshop Practice |
Students master mathematical concepts, programming languages, and database systems. Additionally, they'll gain hands-on experience with data analysis, machine learning, and algorithm design through rigorous lab work.
| Semester 3 | Semester 4 |
|---|---|
| Mathematical Foundations for Data Science-I | Mathematical Foundations for Data Science-II |
| Data Analytics | Database Systems |
| Data Structure | Fundamentals of Machine Learning |
| Object Oriented Programming | Design & Analysis of Algorithms |
| Data Communications and Networks | Principles of Data Privacy & Security |
| Data Analytics Lab | Operating Systems |
| Data Structures Lab | Database Systems Lab |
| Object-Oriented Programming Lab | Fundamentals of Machine Learning Lab |
Students work on advanced data analysis and manipulation. Students master Deep Learning, AI techniques, and Big Data processing alongside practical labs in these specialised areas.
| Semester 5 | Semester 6 |
|---|---|
| Engineering Economics & Financial Management | Essesntials of Management |
| Mathematical Foundations for Data Science-III | Principles of Artificial Intelligence |
| Operations Research | Big Data Analytics and Tools |
| Deep Learning Techniques | PE-1 / Minor Specialization |
| High Performance Computing | PE-2 / Minor Specialization |
| Open Elective – 1 – Creativity, Problem Solving and Innovation (MLC) - mandatory | Open Elective – 2 |
| Deep Learning Techniques Lab | Principles of Artificial Intelligence Lab |
| High Performance Computing Lab | Big Data Analytics and Tools Lab |
The final year focuses on specialisation and project application. Students choose electives to deepen their knowledge and complete a capstone project, integrating their learning into a real-world data science challenge.
| Semester 7 | Semester 8 |
|---|---|
| Program Elective – III / Minor Specialisation | Industrial Training |
| Program Elective – IV / Minor Specialisation | Project Work / Practice School |
| Program Elective - V | |
| Program Elective – VI | |
| Program Elective - VII | |
| Open Elective – 3 | |
| Minor Project (Minor Specialisation) |
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