The B Tech Data Science programme is designed to meet the high demand for skilled data scientists in many sectors. Data science, also known as data mining, competitive intelligence, data analysis, and data statistics, is one of the fastest-growing career fields. Companies have the technology to collect huge amounts of data but need experts to interpret it and guide their business decisions. This programme prepares students to fill that crucial role.
4 years, 8 semesters
NMIMS CET/ SAT/ACT Scores
(The NMIMS Common Entrance Test (NCET) is a mandatory university-level examination for admission to Undergraduate Engineering degree programmes at MPSTME.)
12th class or equivalent from a recognized board with not less than 45% in Physics, Chemistry & Mathematics / vocational subject. Candidates passing out in 2024 can apply.
The following is the programme constituencies, which guide the inputs, delivery, and outcomes of the programme:
Prominent Recruiters: Every year, employers visit the campus to interview graduating students through an active recruitment process managed by the Placement Cell. Most students secure job offers before graduation, highlighting them as “industry-ready”.
Prominent Alumni: The alumni are loyal members of the extended family of NMIMS. They maintain a strong connection with the institution and provide valuable feedback on the programme’s strengths and areas for improvement. They engage with faculty and programme coordinators and offer insights to enhance the program’s effectiveness.
The programme’s curriculum includes a balanced mix of foundational, core, and elective courses, structured around a credit system with 22-26 credits per semester and totaling about 180 credits for the entire B Tech programme. Each course includes lectures, practical sessions, and tutorials tailored to meet academic needs. In the fourth year, students engage in technical entrepreneurship projects. The curriculum undergoes an annual review with input from industry experts to ensure relevance.
The school promotes experiential learning alongside traditional classroom teaching, supported actively by the Blackboard Learning Management System (BBLMS). BBLMS facilitates learning through various online resources like YouTube and other internet-based content, enhancing students’ learning experiences. The curriculum also emphasizes continuous self-learning. Evaluation includes continuous assessment throughout the semester, with a focus on in-semester assignments and final exams. Faculty use diverse evaluation methods such as open-book exams, quizzes, and oral examinations to measure students’ achievement of course and programme goals.
To meet the needs of the ‘Z’ Generation, who prefer 24×7 online learning alongside classroom instruction, we offer various delivery methods. These include project-based learning, technology implementation, industry projects, participation in international competitions, and group work. This innovative teaching approach provides students with diverse learning opportunities that align with their ambitions.
