NMIMS DATA SCIENCE
Full Fee Payment
91,000
Semester Wise
48,000
EMI
3,638 /month*
NMIMS DATA SCIENCE
NMIMS (Narsee Monjee Institute of Management Studies) Data science ensures the full compendium and that the professionals are ready to meet the challenges of a rapidly changing data-driven decision making environment.
The Data Science program at NMIMS prepares the students to possess all the necessary skills and knowledge needed in the broad and comprehensive domain of data analysis. This program touches on a broad category of objectives, including statistical modeling, machine learning, data visualization, and big data technologies. By offering hands-on training and relevant applications, NMIMS equips students with the skills necessary to address modernized and complex data challenges in various fields.
NMIMS Data Science program aims to prepare students in the field of data analytics and business intelligence, which is rapidly growing and requiring more professionals.This is because they have a curriculum formulated by industry specialists who help learners to peel into the complexities of data processing, analysis, and interpretation.
The program combines the current tools and technologies that are used in the Data Science industry and this as a result ensures that graduates of the program are more than just theoretical in their concepts but also practical with regards to their applications based on industry-relevant practices.
In essence, this demonstrates NMIMS’s dedication to providing state-of-the-art instructions in the field of Data Science that leads to a brighter future for graduates in the data-intensive business environment.
NMIMS DATA SCIENCE FEES
| Mode | Full Fee Payment | Semester Wise |
|---|---|---|
| Pro Mode | ₹ 91,000 | ₹48,000 |
| Prime Mode | ₹ 79,000 | ₹42,000 |
Students can choose from two lecture delivery modes: Pro & Prime
- Pro : It allows students to access live-interactive lectures as well as view recorded lectures
- Prime: It allows students to view recorded lectures
- Prime+ : It allows students to choose access for live-interactive lectures of their choice.
Note: To get a detailed understanding of the fee structure, contact a student counselor
- Admission Processing Fee of INR 1,200/- applicable for all admissions.
- An initial amount of INR 5,000/- from the program fee will be collected at the time of registration.
- The University offers special incentives to our armed forces with a 20% concession on the program fee.
- The above-mentioned fee structure is subject to change at the discretion of the University. Any payment made via Demand Draft should be made in favour of “SVKM’s NMIMS” payable at Mumbai.
- In addition, Students need to pay an examination fee of INR 600/- per subject.
- Now avail loan facility to pay fees for the Program even without a credit card.
- EMI Facility (3, 6, 9, 12 months) available via credit cards of the following banks: HDFC Bank, ICICI Bank, Axis Bank, Standard Chartered Bank, Citi Bank, HSBC Bank, Kotak Mahindra Bank.
NMIMS DATA SCIENCE SYLLABUS AND SUBJECTS
QUARTER 1 : MATHEMATICS, COMPUTER SCIENCE AND BUSINESS
- foundations of Probability and Statistics for Data Science
- Digital and Social Media Analytics
- Business Communication and Presentation skills for Data Analytics
- Essential Engineering skills in Data Analytics Using R and Python
QUARTER 2 : AI AND ML
- The art and Science of storytelling with data visualization
- Statistics and probability in Decision Modeling-1
- Statistics and probability in Decision Modeling-2
- Hands on Data science Project-1
QUARTER 3: BUSINESS AND AI & ML
- Behaviour Science
- Project Management
- Methods and Algorithms in machine Learning-1
- Design Thinking
QUARTER 4
- Methods of Algorithms in Machine Learning-2
- AI & Data Science
- Hands on project 2
- Economics for Analysts
NMIMS DATA SCIENCE PLACEMENT
NGASCE (NextGen Analytics and Skills Center of Excellence) is dedicated to helping students achieve success in their professional journey. They provide individual help that is implemented by a permanent team of career advisors who offer students one-to-one advising in several areas of career readiness.This also involves guidance in the process of building an efficient CV, adjusting communication skills for interviews, and dealing with other forms of placement support. The aim is to provide students with the necessary tools and guidance so that they can negotiate the competitive job force landscape effectively.
Besides, NGASCE works with more than 500 recruitment partners among whom INSOFE is one of them who offer myriads of the job for students. This far-reaching industrial circle makes it more likely that students will find suitable and gainful employment in their field. Furthermore, by becoming members of the NGASCE Students Association, students have access to an exclusive Job Portal, a site where they can find and apply for numerous job vacancies. This center acts as a centralized hub, which simplifies the work of students by giving them opportunities to liaise with employers quickly.
In detail, NGASCE’s integrated model of career coaching includes personalized advice from knowledgeable counselors, but it also allows for carefully selected collaborations with a variety of recruitment partners. The integration of these ingredients is intended at providing the students with necessary tools and capabilities they need for making a successful shift from education to one’s perfect job in their preferred industry.
CAREER OPTIONS AFTER DATA SCIENCE
Database Administrator
Control and arrange large data sets and make sure that data is protected and accurate.
Data Engineer
Architect the production, transformation, and processing of data.Provide data accessibility for the analytics and reporting.
Big Data Engineer
Create, design and operate data processing systems on a large scale.
Machine Learning Engineer
To develop and implement machine learning algorithms and models.
Data Analyst
Analyze and interpret information and data sets that are not easy to understand to improve decision-making.
Business Intelligence Analyst
Take raw data and turn it into usable business intelligence information that can be used to inform strategic business planning.
Quantitative Analyst (Quant)
Use both statistical techniques and mathematical models of financial and risk management. It is necessary to analyze market trends and to develop trading strategies.
Research Scientist
Participate in scientific research projects using data analysis.Be a part of improvements in areas such as medicine, social studies, or environmental studies.
Data Scientist
Use sophisticated statistical manipulations and machine learning to derive meaningful patterns from data.Develop predictive models and algorithms that can be utilized in handling the complex business challenges.
Data Consultant
Offer consultation services to businesses for formulating the best strategies on data process optimization and data application for strategic decision-making.Help clients to implement innovative solutions based on data analysis which reflect their peculiarities.
