About Us:

Two years full time post graduate program in collaboration with TCS established in the year 2020 comprising four semesters with a total of 88 credits.

The program delivers meticulous training in computational techniques and provides proficiency in data analysis.

Head of the Department:

Mr. Wilson Rao is the Post Graduate Controller of Examination and IT Administrator of the college. Along with this, he is also a member of IQAC, Admission Committee, NAAC Criteria IV and Placement Cell Member.

In addition to handling the responsibilities of the department, he has always been a helping hand to the students shaping them into the IT professionals of the future.

From The HOD’s Desk:

“It is a pleasure to head the Department of Msc Big Data Analytics, BSc. IT and B.Voc. in Software Development. The department with its state of art facilities and highly qualified faculty works with the objective of addressing critical challenges faced by the industry, society and the academia. Perhaps even more important is our unceasing commitment to our students, helping them to learn, grow, develop, and achieve their goals in their pursuit to excel in their professional career.

The Department of Msc Big Data Analytics, BSc. IT and B.Voc. in Software Development has recorded consistent improvement in its academic, research and placement performance. We offer a range of innovatively designed programs whose curricula are constantly updated to meet the changing requirements of the industry and also to meet the needs of major stakeholders. Through an innovative teaching-learning process, a teamwork approach and leadership building experience, our students gain vital communication and critical –thinking skills. We believe that our students have been well accepted in their job profiles and have consistently exceeded expectations of the corporate world.

During study at the department, the students are encouraged to get hands-on experience in the corporate world through internship projects with reputed organizations. In their curriculum they are encouraged to take up mini projects and assignments to supplement theoretical knowledge with practical experience.

We also encourage students to organize events such as Cyber strike (Intercollegiate Tech Fest) and also get involved in activities of social relevance.

With this brief introduction, I welcome you to be a part of our journey towards being a world class centre of excellence in education, training and research.”

Programme Objectives:

• To acquire command in computational techniques and proficiency in data analysis.
• To gain extensive practical knowledge in Big Data Analytics.
• To be proficient with the tools and techniques required to work with and analyse today’s increasingly complex data sets in all areas of the sciences.
• To gain exposure to industry-oriented education in data science and analytics.
• To collate experiences of trained professionals to hone the ability to meet the demands of the Data Processing and Analytics Industry.

Program Outcomes:

• Acquire enhanced skills in applied statistics, real analysis and numerical analysis.
• Apply for data analytics job opportunities in the domain of predictive analytics, descriptive statistics.
• Acquire skills in Data Mining, Data Infrastructure, Data Visualization, and Decisions Analysis.
• Deduce cost-effective solutions and improve one’s decision-making power in multiple development areas, including healthcare, manufacturing, education, media, retail, and even real estate.
• Select job opportunity from a variety of industries which match specific skills and interests.

Key Features:

• Two years full time post graduate program in collaboration with TCS comprising four semesters with a total of 88 credits.
• Ideal introduction to knowledge discovery, analysis and assessment of data extracted from structured and unstructured big-data sets, as well as visualization and communication of results with a compulsory core of professional subjects like statistics, machine learning and enabling technologies for data science relevant to all science disciplines.
• Exposure to practical aspects, application-oriented subjects like business analytics and programming languages.
• Practical skills developed in courses like computer modeling and, design and analysis of big data sets. TCS supported internships to acquire industry- relevant training in semester IV.
• Creates plethora of opportunities like Big Data Analyst, Big Data Manager, IT Systems Analyst, Operations Analyst, Data Engineer, Quantitative Analyst, Project Manager, Data Scientist.
• The USP of this program is that it has an industry-driven curriculum.

Eligibility for Admission:

• For being eligible to apply for admission to the Program, the learner should have passed either B.Sc.IT. / B.Sc. C.S. /B. Voc. SD/ B.Sc. Mathematics / B.Sc. Statistics / BCA / B.Tech./B.E. degree examination of this University or an equivalent degree of any other University with a minimum of 46 credits or its equivalent (i.e. the minimum credits required for majoring in a subject, and excluding the credits for optional courses) in the subject which he wants to offer for the M.Sc. degree program by papers provided the above candidate undergoes the proposed Bridge Course of 1 credit each in Mathematics, Statistics and IT, each for a duration of 15 hours, satisfactorily.
  
  OR
  
• Students who have graduated majoring in Economics, with Econometrics as one of the Courses or students who have graduated in BAF/BMS/BBA/BFM/BBI/BCom Program of this University or any other University equivalent thereto will also be eligible for admission, provided they had passed Standard XII Board Examination with either Mathematics or Statistics as one of the subjects and undergoes the proposed Bridge Course of 1 credit each in Mathematics, Statistics and IT, each for a duration of 15 hours, satisfactorily.
  
  AND
  
• Provided further the candidates hold a Graduate/Post Graduate Degree with a minimum of 60% marks or CGPA 6.5 on a 10-point scale in the qualifying Degree of BSc/ BCA/ B.Tech./B.E./ BA/ BAF/ BMS/ BBA/ BFM/ BBI/ BCom or equivalent will be eligible for this program provided he/she has scored not less than 60% in aggregate at the other threshold Examinations of Standard X and Standard XII.
  
  ^*Note: Candidates from the SC / ST Category will be eligible for a relaxation of 5% in respect of the above requirement.
  
  
• An Entrance Exam will be conducted for admission to the course.
• Maximum intake for the program per year is 30.

Bridge Course:

• There shall be a ‘Bridge Course’ in the relevant subjects, of approximately 15 hours each, at the beginning of the academic session which will be offered to the students who are admitted for the MSc Program in Big Data Analytics.
• It is mandatory to complete the Bridge Course in the relevant subject/s as decided by the Program Coordinator and to the satisfaction of the Course teacher.
• A student who has not graduated with Statistics as a major subject will be required to undergo the Bridge Course in Statistics.
• A student who has not graduated with Mathematics as a major subject will be required to undergo the Bridge course in Mathematics.
• Similarly, a student who has not graduated in either B.Sc. IT or B.C.A will be required to undergo the Bridge Course in Information Technology/Basic Programming.
• Only on successful completion of the required Bridge Course, will the student be admitted to the M.Sc. Big Data Analytics and be eligible to enrol with the University of Mumbai for the same.

Number of Seats/Total Intake:

The intake is a maximum of 30 students per year.

Reservation of Seats:

Jai Hind College is a Sindhi Linguistic Minority College, administered under the Provisions of the Indian Constitution, to promote the welfare of the Sindhi Linguistic Minority community and to extend its services to all other communities in India, so as to contribute to the harmony and integration of Indian society. 50% of seats are reserved for Sindhi Linguistic Minority students.

As per the Judgement dated 12th October 2017 of the Honorable Bombay High Court vide Writ Petition No.1726 of 2001, Minority Colleges do not need to set aside seats for Backward Classes. This was reiterated by the University of Mumbai Circular (No.Aff. / Recog.I / Admission (2018-19) / 10 / of 2018) dated 30th May, 2018. Accordingly, the Reservation of seats is as follows:

** The Special category is for the wards of transferred State / Central Government and Private Sector employees, Defense Personnel, Ex-Servicemen, Freedom Fighters; for students who have met with an accident and also for award winners at the District / State / National Level in Sports or Cultural activities. # Please note, admissions are as per University of Mumbai guidelines.

# 6 seats of the total seats in Sindhi Linguistic Minority and 5 seats in General Category will be reserved for B.Sc (Maths), B.Sc (Statistics) and along with the above graduates, the remaining seats will be available to students who have also graduated with B.Sc(IT), B.Sc (CS) and B.C.A , B.A. Economics, B.Com, BAF. BMS and BBA.

Admission:

Admission of students into M.Sc in Big Data Analytics will be on the basis of the C.G.P.A or aggregate marks in the graduate exams as well as the score of Entrance Test and the interview.

Entrance test distribution of marks:

Entrance Exam Syllabus:

The entrance examination will primarily check basic aptitude in mathematics and statistics, understanding of algorithms and programming, and the ability to logically interpret data. Entrance test will consist of multiple choice questions from the following four sections.

Section I - Logical Reasoning and Verbal Ability.

• Analogy
• Sequence
• Blood Relations
• Predicate and Propositional Logic
• Puzzle
• Coding-Decoding
• Cause-Effect
• Artificial Language
• Deductive Reasoning
• Seating Arrangements

Section II: Mathematics

• Sequences and Series Of Real Numbers
• Linear Algebra
• Vectors and Matrices
• Numerical Methods
• Set Theory
• Relations
• Logical Compound Statements
• Permutations and Combinations
• Differentiation

Section III: Statistics

• Elementary Statistics
• Measures Of Central Tendancy
• Correlation
• Regression
• Sampling Theory
• Probability Distributions
• Data Visualization
• Testing Of Hypothesis

Section IV: Computer Science

• Data Structures
• Basics Of Programming Concepts And Algorithms
• Data Communication And Networking
• Database Management System
• Software Engineering
• Information Technology

Master of Science (M.Sc.) in Big Data Analytics: Details of Courses Offered.

Activities of Department:

1. Key activities:

1. Every year, the students of MSc BDS Part I are given an ORIENTATION at the start of their Masters. The orientation is based on the MSc Big Data Analytics Programme.
2. PARENTS-TEACHER MEETING gives an opportunity to the parents to review the students’ performance for the previous semester. It also increases the interaction between the teachers and the parents.
3. Every year the College felicitates the students who have graduated during GRADUATION CEREMONY.

2. Curricular: For the holistic development of students, various curricular activities are conducted like Presentation, Group discussion, Case study sessions, Seminars, Workshops, Projects.

Co-curricular: Co-curricular enrichment programs are conducted on Internships, Industrial visits, Team building activities, Alumni Tech Talk Series, Industry Experts Tech Talk Session, etc. In order to develop an aptitude for research we encourage students to participate in Avishkar Research Convention (Annual Inter Collegiate Event), Tech Srujan (Project exhibition), Discussion club.

4. E-waste Drive (Departmental Community out-reach programme): The objective of this drive is to raise awareness about electronic waste and promote responsible disposal practices. The drive extended beyond the college campus through the placement of E-waste bins at the Church gate railway station. Collaboration with other educational institutions resulted in E-waste contributions from neighbouring colleges and societies. This community outreach program emphasized the importance of collective action in addressing E-waste challenges. This event also serves as an excellent example of how organizations and institutions can come together to work towards a common cause.

Departmental Internship and Placement cell:

• The prestigious placement cell of the department was established to place our fresh graduates into organizations and companies worth their calibre. Companies like Morgan Stanley, Deloitte, EY, Go Digital, Hansa Cequity, ICICI Home Financial, Aays Analytics, Pluckk etc. have offered PLACEMENTS for our student’s time-to-time.
• Students have been selected for internships in various domains like Data Analytics, Business Analytics, Data science, Media Analytics, Data Engineer and many more. Based on the performance and successful completion of the internship, our students have received pre placement offers by companies.
• It hosts seminars and workshops on various topics such as CV writing and verbal skill enhancement.

Departmental Discussion Club:

The Department of MSc Big Data Analytics, along with BSc. IT and BVoc. SD promotes the Research activities amongst the Students and Faculties under the roof of Discussion Club.

In Discussion Club we encourage the students to perform research activities with the help of Guest Lectures/ Webinars by eminent personalities in the area of research domain.

We guide the students to identify the different domains of research, tools required to write scholarly articles, and research ethics, procedure to present or publish the articles.

Student Testimonials:

Post Graduating from a prestigious college like Jai Hind gives an opportunity to learn from the best minds. MSc Big Data Analytics at Jai Hind is well-designed course, very practical and fits perfectly with my background. The course curriculum is curated according to the industry requirement. Faculty members are well qualified and supportive. To sum it all up, it has helped me grow my personality as well as my technical skills. – Nishtha Mehta (Batch 2022-23)

The MSc Big Data Analytics program has really helped me to learn and understand the relevant data skills. The program has a mix of theory and practical concepts. The teachers were very cooperative. The experience will be valuable throughout my career. Further, the MSc in Big Data Analytics is useful for all those people who use data during their internships and jobs. This program teaches you how to handle real-time datasets. – Ajay Nair (Batch 2021-22)

Contact Us: jhc.bigdata@jaihindcollege.edu.in