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off ered by LIBA in collaboration with TCS
2019 - 2020BUSINESS ANALYTICSDIPLOMA IN
LIBA
LIBA is engaged in education, research, consulting and training in the area of
management and its related domains leading to Postgraduate Diploma in Management
(PGDM) recognized by the All India Council for Technical Education (AICTE); part time
AICTE approved programmes and many other medium and short term programmes in
the area of management. LIBA has different Centres of Excellence with which it offers
industry ready specialized management programmes for working executives and for
exceptional fresh graduates who are aspiring for challenging careers.
About LIBA
About TCSTCS, one of the large and leading information technology firm with global presence
is engaged in the business of provision of various information technology services,
business solutions, and consultancy and outsourcing services worldwide.
About the collaborationTCS & LIBA under the academic interface program driven by TCS have jointly entered
into a collaboration for developing business analysts who could be employable and
future leaders in the domain and its selected functional areas of applications. TCS
facilitates towards developing and designing and/or providing industry specific
application oriented courses in the area of Business Analytics to be offered as Executive
Postgraduate Diploma in Business Analytics in the weekend mode. This is being
considered by TCS with an objective of creating highly skilled technical manpower
resources.
The Programme leading to the Executive Diploma
in Business Analytics is designed as a structured
learning system in analytics domain focused to
give a thorough understanding of the domain and
application of its tools and techniques in selective
functional areas. LIBA along with TCS as an industry
partner to offer this programme. With its expertise,
TCS will be able to add value to the students of LIBA,
which is unique and first of its relationship with a
management school.
To quote Ranjan Bandyopadhyay, Vice-President,
HR, TCS : “Analytics is emerging as a key growth
area spanning industries. The need of the hour is
talent that can work on delivering carefully-crafted
analytics solutions, insights and recommendations
to businesses. The courses that TCS will design
as part of the collaboration with LIBA will bring
contemporary, application-oriented inputs to the
classroom.”
We expect students with a background in IT,
programming, and data mining who are working IT
and ITES sector and also in other user industries like
banking, insurance, financial services, healthcare,
pharmaceuticals, consumer product groups,
auto motive including components and parts
manufacturing, retail and entertainment and so on
would especially benefit from the course.
Although it is intended essentially for the working
professionals, the Programme can also help fresh
graduates with better prospects in analytics based
management decisions and with technology and
user firms. However, students are expected to have
strong interests and competency in mathematics,
statistics and data tools.
The Programme is designed with learning modules
based on analytical approaches and software
applications to achieve the objective of providing
knowledge and skill essential for successful
management professionals in business analytics.
Diploma inBUSINESS ANALYTICS
The Course Plan
Classes would be through class room, online sessions, lab work and a numerous applications and case discussions. There would be some virtual support that would be available. Wherever there is scope for providing supplementary learning in these subjects, the same would be supported by faculty. Students who fail to qualify in Mathematics and Statistics in Term I would be asked to redo the programme with the batch in the following year.
The programme would be taught on Saturday and Sunday at LIBA campus, Chennai. Typically in a week end students would have to spend about five hours on Saturdays and three hours on Sundays. The classes will be held on Saturdays from 1.00 pm to 8.30 pm and Sundays from 9.00 am to 12.15 pm and 1.00 pm to 4.15 pm.
NO. COURSE TITLE CREDITS
1 Advanced Statistical Methods I 3
2 Data Mining for Business Intelligence 2
3 Introduction to package: ‘R’ and Python 3
4 Management Science and Optimization 3
5 Advanced Statistical Methods II 3
6 Advanced Analytics using ‘R’ 2
7 Machine Learning using ‘R’ and Python 3
8 Big Data & Hadoop 3
9 Business Data Visualization 2
Note : Students can choose only two from above list of electives.
FIRST SEMESTER
SECOND SEMESTER
ELECTIVES
1 Sales & Marketing Analytics 2
2 Digital Marketing – Web Analytics 2
3 Credit Risk Analytics: Measurement Techniques and Applications 2
4 Retail Analytics 2
Pedagogy:
Schedule:
Admission Procedure
Persons satisfying the following criteria are eligible to apply:
● Any engineering graduate / Graduate of Science (Physics, Chemistry and Mathematics)/ Graduate in Commerce / Arts like Economics with Mathematics as a paper from a recognized University. Candidate should have secured a minimum of 60% marks in the aggregate.
● Candidates with work experience will be given preference.
● Aptitude towards Mathematics, Statistics and Data Mining is important.Candidate should apply online on the LIBA website: https://admissions.liba.edu
● Candidate should apply online @ https://admissions.liba.edu
● Application Fee: Rs. 944/- (including GST)
● Candidates, who are provisionally selected, based on the interview must produce the following at the time of paying the fees:
● Degree Certificate in Original/Provisional along with an Attested Copy
● Mark Sheet in Original along with an Attested copy
● Two Passport-sized Colour Photographs
● Candidate awaiting results should produce the Degree Certificate (final/provisional) before September 30, 2019. Failure to do so will result in the removal of candidates name from the rolls of the Institute and forfeiture of fees paid.
● The Selection Committee will make a preliminary screening of the applications and the short-listed candidates will be called for a personal interview. The call letter will have the exact date and timing. The interview date is on 07 September 2019 at 3.30 pm in LIBA.
Eligibility
Selection Process
Admission Requirements
Prospects and students may note that neither LIBA nor TCS would provide placement support or guarantee for this programme. Participants are prepared for market needs and must compete individually for job opportunities.
Important Note:
Fees will be payable at the beginning of each semester. Fees, once paid, will not be refunded. Fees can be paid by NEFT/Bank Draft/Cheque drawn in favour of Loyola Institute of Business Administration payable at Chennai. The GST No. is: 33AAATL1018P1ZO.
Fee Payment
RIGHTS RESERVED: LIBA reserves the right to change the requirements for admission or
graduation, course content, fee structure, and regulations aff ecting students or to make any other
suitable modifi cations, should these be deemed necessary in the interest of students, Institute, or
the profession.
CONTACT DETAILS - Loyola Institute of Business Administration (LIBA)Loyola Campus, Nungambakkam, Chennai - 600 034, IndiaOnline application: https://admissions.liba.eduPhone : +91 44 28177100 / +91 44 28177116 || Mobile: +91 94440 28418 Email : admissions@liba.edu || Website: www.liba.edu
S.No. DETAILS SEMESTER I SEMESTER II
1. Admission Fee 3,800 -
2. Tuition Fees 48,300 88,300
3. Learning Materials 3,300 3,300
4. Establishment Charges 11,000 11,000
5. Library Fees 3,300 3,300
6. Computer Services 10,000 10,000
7. Diploma & Convocation - 2,200
8. Alumni Membership Fees - 2,200
Total 79,700 120,300
1. Admission Fee 3,800 -
2. Tuition Fees 48,300 88,300
3. Learning Materials 3,300 3,300
4. Establishment Charges 11,000 11,000
5. Library Fees 3,300 3,300
6. Computer Services 10,000 10,000
7. Diploma & Convocation - 2,200
8. Alumni Membership Fees - 2,200
Total 79,700 120,300
Plus Applicable GST
1. Admission Fee 3,800 -
2. Tuition Fees 48,300 88,300
3. Learning Materials 3,300 3,300
4. Establishment Charges 11,000 11,000
5. Library Fees 3,300 3,300
6. Computer Services 10,000 10,000
7. Diploma & Convocation - 2,200
8. Alumni Membership Fees - 2,200
Total 79,700 120,300
1. Admission Fee 3,800 -
2. Tuition Fees 48,300 88,300
3. Learning Materials 3,300 3,300
4. Establishment Charges 11,000 11,000
5. Library Fees 3,300 3,300
6. Computer Services 10,000 10,000
7. Diploma & Convocation - 2,200
8. Alumni Membership Fees - 2,200
Total 79,700 120,300
Given below is the Fee Structure for the Diploma Programme during 2019 - 2020
Library Deposit Rs. 5,000
This refundable deposits will be payable along with the First Term Fees. The same will be refunded to the student by cheque while student graduates or leaves from the Institute, after verifying that there are no outstanding dues.
Fee Structure:
Refundable Caution Deposits
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