Data Science refers to extraction of knowledge from large volumes of data that are structured or unstructured, which is continuation of data mining and predictive analytics. It involves different categories of analytical approaches for modeling various types of business scenarios and arriving at solution and strategies for optimal decision-making in marketing, finance, operations, organizational behavior and other managerial aspects. This new field of study breaks down into a number of different areas, from constructing big data infrastructure and configuring the various server tools that sit on top of the hardware, to performing the analysis and developing the right transformations to generate useful results. Data Science is an interdisciplinary field that combines the magic of programming, mathematics and business. Combined with Machine Learning, it helps to identify a future trend which can be used to derive actionable insights for creating future impact. These skills will help for the role of a Data Scientist. As a Data Science aspirant, learner will be emphasizing of the knowledge to share from the quantitative analysis to programming concept and extended to business intelligence. Data science can add value to any business which can use the data well. Data Science consists of 3 parts namely: Machine Learning: Machine Learning involves algorithms and mathematical models, chiefly employed to make machines learn and prepare them to adapt to everyday advancements. Big Data: Everyday, we are producing so much of data in the form of clicks, orders, videos, images, comments, articles, RSS Feeds etc. These data is generally unstructured and is often called as Big Data. Big Data tools and techniques mainly help in converting this unstructured data into a structured form. Business Intelligence: Each business has and produces too much data every day. This data when analyzed carefully and then presented in visual reports involving graphs, can bring good decision making to life. This can help the management in taking the best decision after carefully delving into patterns and details the reports bring to life.

HSC or equivalent from any stream / 3 years Diploma from MSBTE or equivalent
Passing Marks – 40%

This course shall be a full time course. The duration of course will be six semesters spread over there years.

• PSO 1: Apply computing theory, languages, and algorithms, as well as mathematical and statistical models, and the principles of optimization to appropriately formulate and use data analyses.
• PSO 2: An ability to use current techniques, skills and tools for programming practically.
• PSO 3: Capability of the students to apply design and development principles in the construction of software systems.
• PSO 4: Enabling the student’s practical exposure in the software development field.

1. Internal Evaluation (25 Marks)
2. Test: 1 Class test of 20 marks. (Can be taken online)

1. 5 marks: Active participation in the class, overall conduct, attendance.
2. External Examination: (75 marks)

3. Practical / Tutorial Exam: (50 marks)

A Certified copy journal is essential to appear for the practical examination.

OR

For Tutorial Exam, a paper of 50 marks to be solved

SEMESTER I

SEMESTER II

SEMESTER III

SEMESTER IV

SEMESTER V

SEMESTER VI

FYBScDS Syllabus

SYBScDS Syllabus