B.Tech

Business Analytics & Optimisation | IBM

  • OVERVIEW
  • PROGRAMME DETAILS
  • ELIGIBILITY & FEES
  • GALLERY
  • ACHIEVEMENT

The IBM Innovation Centre for Education collaborates with Sandip University, Nasik to co-create degrees that let industry professionals and students interact and prepare for solving the problems of tomorrow. In these degree programs, we focus on project-based learning and industry interaction. Students’ work is constantly under review and receives input from industry specialists that supports constant learning.

Sandip School of Computing Science & Engineering offers a comprehensive bachelor’s degree in business analytics and optimisation that will go a long way in bridging the gap between academia and industry. Subject matter experts from various industries interact with college faculty which helps college faculty maintain up-to-date skills. Such a seamless interaction between faculty and industry ensures that fresh graduates are able to meet real IT challenges and are well-prepared to enter the workforce.

Benefits of the Programme:

  • The program prepares students for careers in the "economy of tomorrow" industries, where they will play a vital role in their organizations' technological direction.
  • The program equips students to take on BAO responsibilities in functions like operations, product development, information systems and finance in the IT end-user industry.
  • The program enables students to become BAO consultants who lead large-scale data warehousing and business intelligence projects in IT consulting/services and IT products organizations.
  • Students can be employed as Package implementation such as Cognos, SPSS/SAS, Informatics; Data Warehousing Specialists and System Administrators; BI/BAO Specialist and Architects; BI/BAO Project Managers; and BAO Infrastructure Specialists.

Career & Placement Opportunities:

Business analytics and optimisation is one of the areas which most businesses focus on keeping industry trends in mind. There is an enormous requirement for competent business analysts who can optimise business functions for the smooth functioning of the organisation. Sandip University aims at creating industry-ready professionals who can become a vital asset to any organisation. Sandip University also offers 100% placement assistance to all students through a massive annual recruitment drive. Some of the best companies where business analytics & optimisation engineers can be placed in India are:

  • Motorola
  • Nortel
  • Apple
  • Amazon
  • Google
  • IBM
  • HP
If you wish to pursue this programme or have any further queries, please call Sandip University’s toll-free number 1800-212-2714.
If you wish to pursue this programme or have any further queries, Click On 1800-212-2714

B.Tech. Business Analytics & Optimisation | IBM : Course Highlights :

Course Level Undergraduate
Duration 4 years
Examination Type Semester System
Eligibility Passed 10+2 or its equivalent examination with Physics and Mathematics as compulsory subjects along with one of the Chemistry or Biotechnology or Biology or Technical or Vocational subjects. Obtained at least 45% marks (at least 40% marks, in case of Backward class categories and Persons with Disability candidates) in the above subjects taken together.
Top Recruiters Facebook, Microsoft, Amazon, HP, Dell International, Deloitte, TOP Banks
Area of Work Analytical Methodologies: Retail, Insurance, Operations, Finance, Banking and Telecom
Top Job Profiles Data Analyst, Business Analyst, System Analyst, Business Consultant, Data Scientist, Business Integrity Associate, Optimization Consultant, Quantitative Analyst
Placement ** Placement Assistant available
  • Course Structure
  • Syllabus
  • Subject List
  • Academic Calendar
  • Lab Facility
  • Events
  • Faculty
  • Timetable

Subject List B.Tech. Business Analytics & Optimisation | IBM:


First Semester

  • English Communication Skill
  • Applies Physics /Chemistry
  • Algebra & Differencial Calculas
  • Environmental Studies, MOOCs (C/B)
  • Engineering Graphics and CADD/ Engineering Mechanics
  • Workshop Practice
  • Introduction to Business Analytics
  • NCC/NSS/YRC/Clubs

Second Semester

  • Technical Communication (HSS) MOOCs (C/B)
  • Applied Physics/ Chemistry
  • Integral Calculus
  • Applied statistics
  • Engineering Mechanics
  • Fundamentals of Computers
  • NCC/NSS/YRC/Clubs
  • Applied statistics

Third Semester

  • Discrete Mathematics and Logic
  • Digital Design and Computer Organization
  • Object Oriented Programming
  • Data Structures
  • Data Mining and predictive Modeling
  • Object Oriented Programming Lab
  • Data Structure Lab
  • Data Mining and predictive Modeling Lab
  • Dynamic Paradigm in Business Analytics 1
  • Industry Internship

Fourth Semester

  • Modern Mathematics
  • Object Oriented Programming in Java
  • Database Management System
  • Data warehouse and Multidimensional Modeling
  • Professional Ethics
  • Object Oriented Programming in Java Lab
  • Database Management System Lab
  • Data warehouse and Multidimensional Modeling Lab
  • Dynamic Paradigm in Business Analytics 2
  • English Communication and Soft Skill 1
  • Foreign Language (French / German )

Fifth Semester

  • Formal Languages and Automata Theory
  • Data Mining and predictive Modeling
  • Data warehouse and multidimensional Modeling
  • Operating System
  • Dynamic Paradigm in Business Analytics 3
  • Data Mining and predictive Modeling Lab
  • Data warehouse and multidimensional Modeling Lab
  • Seminars and Technical Communications
  • Industry Internship
  • Foreign Language (French II / German II)

Sixth Semester

  • Descriptive Analytics
  • Design and Analysis of Algorithm
  • Operations Research
  • Software Engineering
  • Open Elective I
  • Descriptive Analytics Lab
  • Operations Research Lab
  • Seminars And Technical Communications
  • Dynamic Paradigm in Business Analytics 4

Seventh Semester

  • Object Oriented Analysis and Design
  • Social and Web Analytics
  • Mobile Analytics
  • Open Elective II
  • Object Oriented Analysis and Design Lab
  • Social and Web Analytics Lab
  • Dissertation Stage I
  • Industry Internship

Eight Semester

  • Software Testing Methodology
  • Big Data Analytics &Hadoop
  • Program Elective
  • Big Data Analytics and Hadoop Lab
  • Dissertation Stage II

Academic Calendar:

Lab Facility:


Faculty:

ELIGIBILITY & FEES STRUCTURE:

Programme Sem Year Mode Eligibility Academic Fees
Per Year (INR)
Special Fees
(Incl. Library Fee & Examination Fees)
Per Year (INR)
Fees Per Year

SCHOOL OF COMPUTER SCIENCES & ENGINEERING (UG)

B.Tech. Business Analytics & Optimisation | IBM 8 4 Sem Passed 10+2 examination with Physics and Mathematics as compulsory subjects along with one of the Chemistry/ Biotechnology/ Biology/ Technical Vocational subject/ Computer Science/ Information Technology/ Informatics Practices/ Agriculture/ Engineering Graphics/ Business Studies.
Obtained at least 45% marks (40% marks in case of candidates belonging to reserved category) in the above subjects taken together. OR Passed Diploma (in Engineering and Technology) examination with at least 45% marks (40% marks in case of candidates belonging to reserved category) subject to vacancies in the First Year, in case the vacancies at lateral entry are exhausted. OR Obtained score in SU JEE 2018 / MH-CET/ JEE Main conducted by the Competent Authority.
Rs 1,20,000/- Rs 10,000 /- Rs 1,30,000/-

SCHOOL OF COMPUTER SCIENCES & ENGINEERING (UG-LATERAL ENTRY)

B.Tech. Business Analytics & Optimisation | IBM 6 3 Sem a. Passed Diploma examination with at least 45% marks (40% marks in case of candidates belonging to reserved category) in ANY branch of Engineering and Technology.
b. Passed B.Sc. Degree from a recognized University as defined by UGC, with at least 45% marks (40% marks in case of candidates belonging to reserved category) and passed 10+2 examination with Mathematics as a subject.
c. Provided that the students belonging to B.Sc. Stream, shall clear the subjects Engineering Graphics/ Engineering Drawing and Engineering Mechanics of the First Year Engineering Programme along with the Second year subjects.
d Provided that the students belonging to B.Sc. Stream shall be considered only after filling the supernumerary seats in this category with students belonging to the Diploma stream.
e. Passed D.Voc. Stream in the same or allied sector.
f. In the above cases, a suitable bridge Courses, if required such as in Mathematics may be conducted.
Rs 1,20,000/- Rs 10,000 /- Rs 1,30,000/-
Note:
  • Admission Form and Prospectus Rs. 1000/- (One Time).
  • Caution Money Rs.1000 (Refundable)
  • Hostel Fees Rs. 90,000/- per annum (Deposit Rs 5, 000 at the time of Admission Only on Refundable basis)
  • Transportation Fees as applicable based on Route and Pick Up Point.
  • Uniform cost Rs. 5500/-

Departmental Photo Gallery:

ACHIEVEMENT AND PARTICIPATION

Sr. No Specialization Name Of Student CGPA Contact
Number
Email ID
1 FE - BAO 1.Mohak Trivedi 9.09 7030100884 trivedimohak@gmail.com
2.G.Kaveri 8.14 7066680066 kaveriganesan301100@gmail.com
3.Shan Mathew 8 7038551216 shaanmathew7@gmail.com

2

SE- BAO

1.Preksha Khant

8.72

9624091553

prekshakhant211@gmail.com

1.Vidya Kumari

8.72

7385831341

kashyap.vidya22@gmail.com

2.Saurabh Patil

8.52

7666854872

patilsaurabh1799@gmail.com

3.Mrunal Patil

8.48

8999036909

pmrunal369@gmail.com

3

TE-BAO

1.Shivani Patil

9.12

8605138345

shivani.patil18@gmail.com

2.Sakshi Paleja

7.86

9764433133

paleja.sakshi@gmail.com

3.Ketan Mestry

7.74

8149405841

k2.mestry@gmail.com

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