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BCA in Data Analytics & Cloud Computing

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Bachelor of Computer Application (BCA) in Data Analytics & Colud Computing

Duration : 3 years, six semesters (Admissions open for the batch 2017-18)

Eligibility : Pass in 10 + 2 / 12th Standard with minimum 50% marks. Admission needs valid score in SUAT.

About the Course :

Srinivas University’s Bachelor of Computer Applications in Data Analytics & Cloud Computing is an advanced undergraduate program nurtures the students to become young IT professionals with 21st century IT skill requirements. The course is designed to bridge the gap between industries and academic institutions by incorporating the latest technologies into the curriculum. State-of-the-art infrastructure provides an excellent learning environment in the IT development and management sector. Bachelor of Computer Applications in Data Analytics & Cloud Computing is a three year undergraduate programme that is spread across six semesters. The goal of the Bachelor of Computer Applications (BCA- Data Analytics & Cloud Computing) program is to prepare students for careers in IT enabled businesses and the information communication technology skills required to handle big data. The curriculum supports students to gain adequate programming practices along with theoretical foundation and also includes interdisciplinary courses and electives for widening the domain expertise. The curriculum also provides an environment to develop the minor project at every semester to gain the knowledge of IT requirements in Big data management.

Special Features:

  • Classes will be held between 9.00 am to 2.00 pm with half an hour break during week days.
  • E-Study material will be provided from the college for every subject according to the syllabus.
  • Industry oriented syllabus with special focus on experimental learning.
  • Mini project in each semester.
  • Campus recruitment facility and Higher education opportunity leading to MCA & MBA.
  • Innovations in examination system with opportunity for personal seeing of evaluated papers.
  • 50% weightage of marks on continuous evaluation and 50% weightage on semester end exam.
  • Make-up exams in every semester to avoid year loss.
  • Placement support and research oriented projects for every student.
  • Focus on smart skill development & training on competitive exams.
  • Separate Hostels & Transport facility for boys & Girls.
  • Earn while Learn Opportunity in Retail/BPO/Software companies during evening time.

Career Opportunities:

Every large corporation, in private or public sector, now need Analytics professionals, with specific assignments at entry/mid/senior level depending upon your qualifications, skill set proficiencies as well as analytic experience. IT companies are briskly hiring these skilled professionals to be assigned for client projects, cutting across functional as well as vertical domains. Your best option is to join BCA in Data Analytics & explore on to such huge opportunities out there in various chosen domains, be it Banking, Financial Services, Healthcare, Retail, Telecom or Manufacturing etc.

Programme Structure :

S. No Subjects  Marks S.No. Subjects Marks
1 Professional Communication I 100 1 Professional Communication II 100
2 Foundation of Information Technology 100 2 Python Programming for Analytics 100
3 Computer Organization 100 3 Database Management using MYSQL 100
4 Programming Language C++ 100 4 Data Structure using C++ 100
5 Lab on FIT 100 5 Lab on MYSQL 100
6 Lab on C++ 100 6 Lab on Database management 100
7 Indian Constitution & Environmental Studies 100 7 Basic Mathematics & Statistics 100
8 Hindi/Kannada/Malayalam 8 Hindi/Kannada/Malayalam
700 700
1 Basic Programming & Applications in R 100 1 Advanced Java Programming 100
2 Programming in Core Java 100 2 Big Data Analytics Using Spark & Scala 100
3 Operating Systems 100 3 E-Commerce 100
4 HTML, VB Script and Java Script 100 4 Web Development using ASP.NET & WordPress 100
5 Lab on Java 100 5 Lab on Advance Java 100
6 Lab on HTML, VB Script and Java Script 100 6 Lab on WordPress, ASP.NET 100
7 Data Mining for Analytics 100 7 Data Analytics using Hadoop, Mapreduce & Data visualization using Tableau 100
8 Team Project 50 8 Team Project using Excel 50
750 750
1 Software Project Management 100 1 Project Work Analytics Application / Dissertation carrying 18 credits Marks 500


2 Linux Environment 100 2
3 LAMP Technology 100 3
4 Distributed Computing 100 4
5 Data Analytics using SAS 100 5
6 Descriptive Statistics & Machine Learning 100 6
7 Lab on LAMP 100 7
8 Lab on DC 100 8
9 Team project on Google analytics 50 9
Total Marks 750 Total Marks 500


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