B. Tech in Computer Science (Business Analytics and Optimization) imparts core knowledge about data analysis for business applications. The course curriculum provides inputs in areas of data mining technology to identify various patterns which could be useful in predicting various business outcomes.
The programme offers better insight into the technique to sync an organization’s operations with industry demands and benefit from the upcoming opportunities.
In this programme, the students learn about the latest trends of Data Management, Statistics, Big Data, Data Visualisation, business intelligence and pattern recognition.
These skills are important for developing experts who are data driven and likely to fulfil needs of industries of tomorrow.
Designed in collaboration with IBM with curriculum designed by PU Faculty along and IBM Industry Experts
2. PROJECT WORK & CURRICULUM:
(i) Students complete total four projects (two major and two minor) and compulsory to all to do Summer Internship for 3 Months in different esteemed organization
In-depth knowledge in the field of analytics and optimization
Imparting Skills in students through-
(i) Personality Development Program
(ii) Languages like C, C++, PHP, JAVA
4. WORKSHOPS/GUEST LECTURES:
Extensive & in depth work shops and Guest lectures from prominent industry professionals
5. LIVE PROJECTS:
Exposure to work on live projects
- It supports human decisions with visual analytics that the user models to reflect reasoning
- It gains insight from historical data with reporting, scorecards, clustering etc.
- It employs predictive modelling using statistical and machine learning techniques
- It recommends decisions using optimisation, simulation, etc.
- Smart object concept through IoT will be implemented by this technique.
- It will provide cost effective and optimized solution for social as well as industry problems.
2. WORKSHOPS & SKILL DEVELOPMENT:
Help blend the content into the curriculum and develops soft skills.
1. SPECIALISED LEARNING:
The specialization subjects provide hands-on capabilities Open Source Tools: Star UML, R-Studio with R, programming Language, Eclipse, Weka. PHP & Python IDE Spago BI. Proprietary IBM Tools: Cognos, Infosphere, BPM
2. HIGH DEMAND:
Designed and developed according to industry demand.
LEARNING as per INDUSTRY DEMAND:
Awareness about Statistical and Predictive Models
Live projects & expert lectures give better understanding of industry to students
ELIGIBILITY CRITERIA for B.Tech
Pre-University / Higher Secondary /10+2 examination Pass with Physics and Mathematics as compulsory subjects along with either Chemistry / Biotechnology / Biology / Technical Vocational subject
Obtained at least 45% marks (40% in case of candidates belonging to Reserved Category) in the above subjects taken together
Appeared for JEE (Main); JEE (Advanced); Karnataka CET; COMED-K; PUEET-2020 or any other State-level Engineering Entrance Examination.
Program Structure* 'subject to changes by the Academic Council'
|SEMESTER I||SEMESTER II|
|Mathematics I||3||Mathematics II||3|
|Physics||3||Advanced Data Structures||3|
|Programming and Data structures||3||Design Thinking||2|
|Written Technical English||3||Environmental Science||2|
|Introduction to Business Analytics||3||Applied statistical Analysis||3|
|Introduction to Psychology||2||Basic Electronics Engineering||3|
|Appreciating Art Fundamentals||2||Spoken Technical English||2|
|Physics Lab||1||Advanced Data Structures Lab||1|
|Programming and Data Structures-Lab||1||Basic Electronics Engineering Lab||1|
|Applied statistical Analysis Lab||1|
|SEMESTER III||SEMESTER IV|
|Object Oriented Programming||3||Advanced Data Software Engineering & Project management||3|
|Mathematics III||3||Data Communication and Computer Networks||3|
|Formal Languages and Automata Theory||3||Design and Analysis of Algorithms||3|
|Database Management Systems||3||Data Warehousing & Multidimensional Modelling||3|
|Operating Systems||3||Data Visualization for Analytics||3|
|Emerging Trends in Business Analytics and Optimization 1||2||Emerging Trends in Business Analytics & Optimization 2||2|
|Technical Report writing||2||Placement Related Communication||1|
|Advanced Database Management Systems Lab||1||Data Communication and Computer Networks Lab||1|
|Object Oriented Programming Lab||1||Design and Analysis of Algorithms Lab||1|
|Operating Systems Lab||1||Data Visualization for Analytics Lab||1|
|Data Warehousing & Multidimensional Modelling lab||1|
|SEMESTER V||SEMESTER VI|
|Object Oriented Analysis and Design||3||Introduction to Artificial Intelligence||3|
|Micro Processor & Embedded Systems||3||Big Data Analytics||3|
|Operation Research & Optimization||3||Analytics for HR||2|
|Analytics for Marketing||2||Social, Web and Mobile Analytics||3|
|Emerging Trends in Business Analytics & Optimization 3||2||Urban Sociology||2|
|Modern Arts and Ideas||2||Analytics for Manufacturing||2|
|Effective Communication||2||Emerging Trends in Business Analytics & Optimization 4||2|
|Being Corporate Ready||1|
|Object Oriented Analysis and Design Lab||1||Big Data Analytics Lab||1|
|Operation Research & Optimization lab||1||Block Chain for Business Lab||1|
|Minor Project I||4||Social, Web and Mobile Analytics Lab||1|
|Micro Processor & Embedded Systems Lab||1||Minor Project II||4|
|SEMESTER VII||SEMESTER VIII|
|Cryptography and Network Security||3||Business Intelligence||3|
|Data mining & Prediction Modelling||3||Entrepreneurship and Product Development||2|
|Introduction to Public Speaking||2||Pattern Recognition||3|
|Leadership in a Dynamic Business Environment||2|
|Placement Boot Camp||1|
|Major Project I||4||Major Project II||6|
|Data mining & Prediction Modelling Lab||1||Business Intelligence Lab||1|
|Cryptography and Network Security Lab||1|
*The above program structure is indicative in nature. The academic council of Presidency University reserves the rights to change, modify, or alter the curriculum structure and courses as per contemporary demand of the industry.