Advanced Programme in Computational Data Science at IISc Bangalore, Ranking, Fees, Course, Admission, Application, Syllabus, Placement, Facility

Admission to the undergraduate, graduate, and doctoral studies at the IISc Bangalore is determined by the results of national entrance exams (GATE/CEED/Joint CSIR UGC NET for JRF/GPAT). The next stage of the admissions process will only be open to applicants who meet the IISc Bangalore cutoff. The IISc Bangalore Cutoff will be determined based on the results of the admission exams, written exams, and interviews.

IISc Bangalore Integrated Ph.D Programmes Cutoff 2023

Department/Division Name	Entrance Type	Entrance Paper Name	Cutoff
			GN	OBC	SC	ST	EWS
Biological Science	JAM	Biotechnology	71	119	712	4290	85
		Chemistry	71	119	712	4290	85
		Mathematics	71	119	712	4290	85
		Physics	71	119	712	4290	85
Chemical Science	JAM	Chemistry	3500	7000	8000	12000	6000
Mathematical Science	JAM	Mathematical statistics	67	142	437	1909	70
		Mathematics	67	142	437	1909	70
Physical Science	JAM	Physics	58	155	3564	3578	64
	JEST		84	438	417		88

IISc Bangalore M.Tech/M.Sc Cut Off 2023

Department/Division Name	Entrance Type	Entrance Paper Name	Cutoff
			GN	OBC	SC	ST	PH
Electronic Systems Engineering	GATE	CS	625	550	350	350	350
		EC	625	550	350	350	350
		EE	625	550	350	350	350
		IN	625	550	350	350	350
Product Design And Engineering	CEED	–	30	23	20	20	20
	GATE	AE	580	500	400	240	300
		AG	750	500	300	300	300
		AR	700	600	400	400	300
		BM	400	300	200	200	200
		BT	700	600	300	250	300
		CE	750	650	450	300	300
		CH	650	600	500	300	300
		CS	650	550	300	300	200
		EC	540	500	250	250	300
		EE	600	550	300	300	300
		ES	500	400	300	300	300
		GE	600	500	300	300	300
		GG	500	400	200	200	300
		IN	450	400	300	300	300
		ME	800	700	500	400	300
		MT	700	600	200	200	300
		NM	600	500	300	300	300
		PE	450	400	300	300	300
		PI	750	650	400	400	250
		ST	600	500	300	300	300
		TF	700	600	250	250	300
		XE	800	700	400	400	300
		XH	500	400	300	300	300
		XL	400	300	200	200	200

IISc Bangalore Placements

The Office of Career and Counselling and Placement (OCCAP), a separate placement unit of the Indian Institute of Science in Bangalore, manages the final placement drive. For the final placement drive, the Advanced Programme in Computational Data Science IISc Bangalore placement cell contacts and invites businesses. Pre-placement meetings, training sessions, and workshops for student grooming are organised by the placement cell. The campus session’s final placement includes participants from the Post-Doc, PhD, Master’s, and Undergraduate Programmes. The IISc Bangalore placement department holds workshops, seminars, and a variety of other events to develop students’ abilities and confidence.

The placement unit at IISc Bangalore serves as a liaison between students and businesses. The best recruiters, including Amazon, SAP, DELL, IBM, TCS, and many others, will take part in the final placement drive. The maximum income granted to students at IISc Bangalore is Rs 85.0 LPA, and the median salary is Rs 28.0 LPA.

IISc Bangalore Placement Statistics 2021-2022 (NIRF 2023 data)

Particulars	Statistics
No.of UG students placed	4
No.of PG(2 years) students placed	287
No.of PG(3 years) students placed	13
Median salary offered for UG students	Rs 22.50 Lakhs
Median salary offered for PG (2 years) students	Rs 22.50 Lakhs
Median salary offered for PG (3 years) students	Rs 27.50 Lakhs

IISc Bangalore Top Recruiters

Amazon	Dell	SAP
IBM	Microsoft	Google
TCs	Wells Fargo	Zee5

Domain

Engineering and Architecture

Year

2 Years

Statistics for Academic Year 2020

Particulars	Statistics
First year total students intake	456
Total students admitted	295
Total Graduated Students	233
Total Placed Students	159
Placement Percentage	70.98
Total student gone for higher studies	9
Median Salary	23.55 L

IISc Bangalore Facilities

The campus of the Indian Institute of Science in Bangalore has a number of amenities for faculty, staff, and students. The facilities of IISc Bangalore include a library with a wide selection of books, journals, magazines, and periodicals, as well as boys’ and girls’ dorms, a cafeteria, and other features. The college offers the necessary resources to support student involvement in extracurricular activities. Each classroom has all the modern conveniences necessary to make learning simple. The Advanced Programme in Computational Data Science IISc Bangalore campus offers guest accommodations for the families of students. In addition to these, the IISc Bangalore amenities offer students access to a parking lot, a health centre, and an auditorium.

Boys Hostel

There are various separate student housing facilities at IISc Bangalore, some of which are for boys and others for female. More than 3000 students can be accommodated in all across the hostel blocks. Four distinct eateries are available to students; two of them offer vegetarian meals, while the other two offer a combination of vegetarian and non-vegetarian options. Modest convenience stores such a bakery, laundromat, bike repair, hair salon, and pharmacy are all part of the hostel complex.

Girls Hostel

Boys and females can stay in separate lodgings at IISc Bangalore. Modest convenience stores such a bakery, laundromat, bike shop, hair salon, and pharmacy are available at the hostel. Four eateries are available as hostel amenities.

Guest Room/Waiting Room

IISc Bangalore offers cozy guest accommodations. This service allows students to host visiting family members while they are on campus. However, there are rules and guidelines that students must adhere to when making hotel reservations.

Gym

For students and staff at IISc Bangalore, Gymkhana serves as the centre for sports and culture. The gym offers all of the necessary resources and assistance so that students can engage in extracurricular activities in addition to their academic pursuits.

Banks/ATMs

A bank and ATM are available on the IISc Bangalore campus. Canara Bank and the State Bank of India are two banks having locations on campus. Both teachers and students at IISc Bangalore have access to ATMs.

Medical/Hospital

There is a health centre at IISc Bangalore to take care of the medical needs of the students, instructors, and staff. The clinic offers both outpatient and inpatient care and is well-equipped to perform a range of clinical testing.

Library

The J. R. D. Tata Memorial Library, which was founded in 1911, is one of the amenities at the IISc Bangalore. More than 5 lakh volumes, including books, magazines, technical papers, and standards, are housed at the library. On about 5,000 square metres of ground, it is situated.

Cafeteria

The cafeteria has evolved into more than just a place for students to dine; it has also developed into a hub for peer interaction. The cafeteria at IISc Bangalore offers tasty food at affordable prices. Students can get clean, wholesome food from the mess.

Auditorium

An auditorium is one of the facilities of IISc Bangalore that is used to conduct a variety of events, including workshops and seminars. The organisation of the professional and cultural activities takes place in the auditorium.

Parking Facility

On-campus parking is one of the IISc Bangalore services. Access to the parking facilities is available to students, professors, and employees.

IISc Bangalore Affiliated Colleges List

Department

Department of Management Studies, Indian Institute of Science, Bangalore

• Ownership: Public/Government
• Total Courses: 4

Advanced Programme in Computational Data Science FAQ’S

How is IISc PG certificate in computational data science?

This highly sought-after programme offers a unique 5-step learning process, including LIVE online faculty-led interactive sessions, capstone projects, mentorship, case studies, and data stories.

Who is eligible for computational data science IISc?

BE /B Tech/M Sc/MCA/Four year B.S. or equivalent in any discipline of science/engineering (with a valid GATE Score). Strong Mathematical and Programming background is required.

What are the advanced topics in data science?

Topics include big data and database management, basic Bayesian methods, nonlinear statistical models, unsupervised learning, and topic models.

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