BTECH/BE Computer Science and Engineering in Data Analytics (Bachelor of Engineering/Technology in Computer Science and Engineering in Data Analytics)
Data Analytics is a process of analysing raw data to find trends and answer the questions, the definition of data analytics captures its broad scope of the field. Data analytics is ideally a combination of many techniques with different goals.
Data Analytics techniques can reveal trends and metrics that would otherwise be lost in the mass of information. The information obtained by data analytics techniques can be used to optimize processes to increase the overall efficiency of a business or a system.
class Major Courses
Some of the popular specialisations available in B.Tech Computer Science are:
Course 13: BTech/BE CSE - Mathematics & Computing
Course 14: BTech/BE CSE - Robotic process Automation
BTech/BE Computer Engineering (Data Analytics) course details
|Entrance Exams||Karnataka CET / COMED-K / JEE Advance / JEE-Main|
|Fees||Merit Quota: Rs.25,000 to Rs 75,000 per annum
Management Quota: Rs.75,000 to Rs. 10,00,000 per annum
|Admission Process:||Merit - The candidates seeking admission under merit to B.Tech. programme should qualify CET/COMED-K/JEE/JEE-Main Exam. The qualified students are then required to undergo, JEE counselling, CET counselling and COMED-K counselling to get admission to B.Tech. programme.
Management - Students looking for Management seats can go for Direct Admission
List of Top BTech/BE Computer Engineering (Data Analytics) Colleges in Bangalore
Course name: BTech/BE Computer Engineering (Data Analytics)
- Presidency University / VTU
Eligibility: Pre-University / Higher Secondary /10+2 examination Pass with Physics and Mathematics as compulsory subjects along with either Chemistry / Biotechnology / Biology / Technical Vocational subject Obtained at least 45% marks (40% in case of candidates belonging to Reserved Category) in the above subjects taken together Appeared for JEE (Main); JEE (Advanced); Karnataka CET; COMED-K; PUEET-2020 or any other State-level Engineering Entrance Examination.
Duration: 3 Years
Petroleum Engineering Electrical & Electronics Engineering [Power & Energy Systems] Mechanical Engineering [Additive Manufacturing] Electrical & Electronics Engineering [Automotive Electronics] Civil Engineering [Infrastructure Development] Civil Engineering [Smart Cities] Information Science and Technology (Internet Technologies) Information Science and Engineering [Business Analytics & Optimization] Electronics and Computer Engineering (IT infrastructure) Electronics & Communication Engineering Mechanical Engineering Electrical & Electronics Engineering Civil Engineering Computer Science and Engineering (Data Science) Computer Engineering (Data Analytics) Computer Science and Technology (Big Data) Computer Science and Technology (DevOps) Mechatronics Computer Science and Engineering Computer Science and Technology Computer Science and Engineering (Cyber Security)
Campus Location: Itgalpur Rajanakunte, Yelahanka, Bengaluru, Karnataka 560064
- The college is well conneceted to Bus Stations Railway Stations & airport
- Distance from Airport is 28.1 km
- Distance from Majestic(Central Railway Station(SBC)) is 29.8 km
List of BTech/BE Computer Engineering (Data Analytics) colleges
Syllabus of BTech/BE Computer Engineering (Data Analytics)
|Year I||Semester I||
|Year II||Semester III||
|Year III||Semester V||
|Year IV||Semester VII||
Career Scope of BTech/BE Computer Engineering (Data Analytics)
As companies are becoming more tech-driven and fast-paced now, the data analysis professionals are already playing an increasingly crucial role in businesses. Both start-ups and tech giants in India and also across the globe are adding data analysts to their workforce who are able to record, analyse and dissect data to drive efficient decision-making. It has been expected that data will grow up to 50 times by 2025 and demand for data analytics professionals will increase by 80% in the job markets.
The huge competition in the markets has forced the companies to stay updated with the technologies that are required to manage huge volumes of data on a daily basis. This ensures that they don’t become obsolete in the competitive markets. Therefore, the skilled professionals with data analytics are considered to be crucial for organisations to adjust their business models and stay ahead of the competition.
select_all Benefits of BTech/BE Computer Engineering (Data Analytics)
The Computer Science & Engineering (Data Analytics) professionals will enjoy the following benefits in their career
Soaring demand for Analytics Professionals: There are more job opportunities today in data analytics then there were in the last 5 years in all the IT companies. The job trend graph for data analytics from various job listing sites proves that there is a growing trend for it and as a result there is a steady increase in the number of job opportunities in the field of data analytics.
Huge job opportunities & meeting the skill gaps: The demand for analytics skill is going up steadily but there is a huge deficit on the supply side. This is happening globally and is not restricted to any part of geography. In spite of data analytics being a ‘Hot’ job there is still a large number of unfilled jobs across the globe due to the shortage of required skill. So, there are a good number of job positions in the field of data analytics and no sign of saturation is witnessed in this field.
High Salaries: Strong demand for data analytics skills is boosting the wages for qualified professionals and making the organisations pay the data analytics professionals with big bucks for the right skill. The phenomenon is being seen globally where countries like Australia and the UK are witnessing this scenario.
Data Analytics: A Top Priority in a lot of organisations: According to various global surveys conducted in the data analytics field, it is clearly mentioned that data analytics is one of the top priorities of the organisations across the globe. The data analytics professionals are given top priority in all the organisations when compared to others. The management is more dependent on the data given by the data analytics professionals to take decisions on business strategies in the organisations.
Adaptation of Data Analytics is growing: New technologies are now making it easier to perform increasingly sophisticated data analytics on very large and diverse datasets. With data analytics providing an edge over the competition the rate of implementation of the necessary analytics tools has increased exponentially in both start-ups and top MNCs. More and more organisations are adapting data analytics technologies due to its capabilities that increases the efficiency and performance of the organisation to have a competitive edge in the markets.
Placements for BTech/BE Computer Engineering (Data Analytics)
Data Analytics is a booming technology and offers different roles for skilled professionals. The Data Analytics field offers some of the highly paid jobs in the IT sector.
Let’s discuss some of them below
Data Analyst: Data analysts are responsible for a variety of tasks including visualisation, munging and processing of massive amounts of data. They also have to perform queries on the database from time to time. One of the most important skills of a data scientist is optimization. They are responsible to create and modify algorithms that can be used to call information from some of the biggest databases without corrupting the data.
Earning Potential: The Data Analysts will be earning around 6 lakhs to 8 lakhs per annum.
Database Administrator: The job profile of database administrator is pretty much self-explanatory; they are responsible for the proper functioning of all the databases of an enterprise and grant or revoke its services to the employees of the organisation depending upon the requirements. They are also responsible for database backups and recoveries.
Earning Potential: The Data Administrators will be earning around 5 lakhs to 7 lakhs per annum.
Data and Analytics Manager: A data & analytics manager oversees the data science operations and assigns the duties to their team according to skills and expertise. Their strengths should include technologies like SAS, R, SQL and also management.
Earning Potential: The Data & Analytics Manager will be earning around 10 lakhs to 12 lakhs per annum.
Business Analyst: The role of a business analyst is slightly different than other data analytics jobs. While they do have a good understanding of how data-oriented technologies work and how to handle large volumes of data. They also separate the high-value data from the low value data. In other words, they identify how the data analytics can be linked to actionable business insights for business growth a business analyst is required in the organisation
Earning Potential: The Data Analysts will be earning around 8 lakhs to 10 lakhs per annum.