NMIMS DATA SCIENCE

Fee

91,000

Duration

3 Years

EMI Starting

₹ 3,638

Table of Contents

NMIMS DATA SCIENCE

Data science courses offered by NMIMS (Narsee Monjee Institute of Management Studies) ensure 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 Fees

Mode Full Fee Payment Semester Wise
Pro Mode ₹ 91,000 ₹48,000
Prime Mode ₹ 79,000 ₹42,000

The fees structure  is as follows

Students can choose from two lecture delivery modes: Pro & Prime # Pro : The Pro mode allows students to access live-interactive lectures as well as view recorded lectures ※ Prime: The Prime delivery mode allows students to view recorded lectures ※ Prime+ : The Prime+ mode 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 .

NMIMS Data Science

This 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 Syllabus And Subject

  • 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
  • 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
  • Behaviour Science
  • Project Management
  • Methods and Algorithms in machine Learning-1
  • Design Thinking
  • Methods of Algorithms in Machine Learning-2
  • AI & Data Science
  • Hands on project 2
  • Economics for Analysts

Career Options After Data Science

A diploma in Data Science provides individuals a vivid opportunity to dive into a demanding and rapidly developing field of data analytics and business intelligence.

Analyze and interpret information and data sets that are not easy to understand to improve decision-making.Create reports, dashboard, and visualizations that show data-driven results.

Take raw data and turn it into usable business intelligence information that can be used to inform strategic business planning.

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

Use both statistical techniques and mathematical models of financial and risk management. It is necessary to analyze market trends and to develop trading strategies.

Create, design and operate data processing systems on a large scale.

As a Financial Planner, you can assist individuals or businesses in creating financial plans, managing investments, and achieving their financial goals.

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.

Architect the production, transformation, and processing of data.Provide data accessibility for the analytics and reporting.

To develop and implement machine learning algorithms and models.Try to work on projects that involve natural language processing, computer vision, and recommendation systems.

Participate in scientific research projects using data analysis.Be a part of improvements in areas such as medicine, social studies, or environmental studies

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 to their field. Furthermore, by becoming members of the NGASCE Students Association, students have access to 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.

NMIMS DATA SCIENCE

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