Sikkim International University BTech in Data Analytics Admission 2024-25, Check Counselling Schedule, Preparation, Plantation

B.Tech. Data Analytics

Foundational Subjects: Students usually start with fundamental courses in mathematics, statistics, and computer science to build a strong base for understanding data analysis techniques.

Data Science and Analytics Tools: They learn to work with various tools and technologies used in Data Analytics, such as programming languages like Python, R, SQL, and tools for data manipulation, visualization, and analysis like Tableau, Power BI, and more.

Data Collection and Processing: Understanding how to gather, clean, preprocess, and manage data from various sources is a critical aspect. Students learn about data warehousing, data mining techniques, and data cleaning methodologies.

Statistical Analysis and Machine Learning: Courses cover statistical methods, predictive modeling, machine learning algorithms, and data modeling techniques to derive insights from data and make data-driven decisions.

Big Data Technologies: Understanding big data technologies like Hadoop, Spark, and distributed computing frameworks become increasingly important as students delve into handling large datasets.

Data Visualization: Visual representation of data is crucial for communicating insights effectively. Students learn how to create meaningful visualizations and dashboards to present data analysis results.

Business Intelligence and Decision-Making: Understanding how to apply analytics to solve business problems and make informed decisions based on data insights is a key focus area.

Ethical and Legal Aspects: Students are often taught about ethical considerations, data privacy, security, and legal issues related to handling and using data.

Real-world Projects and Internships: Practical exposure through internships, projects, and case studies helps students apply their knowledge in real-world scenarios and prepares them for industry demands.

Soft Skills: Communication, problem-solving, teamwork, and critical thinking skills are emphasized to effectively communicate findings and work collaboratively in teams.

B.Tech. Data analytic Highlights:

B.Tech in Data Analytics is a 4-year undergraduate program that focuses on teaching students the technical skills and knowledge necessary to analyze and interpret complex data sets.

The program offers a comprehensive curriculum that covers topics such as statistics, machine learning, data visualization, data mining, and database management.

Graduates of this program can pursue careers in a variety of fields such as data science, business intelligence, financial analysis, healthcare analytics, marketing analytics, and more.

B.Tech. Data analytic Entrance Exam:

The admission to the B.Tech Data Analytics program is based on merit. However, some colleges may conduct entrance exams to shortlist candidates.

B.Tech. Data analytic Admission and Eligibility:

To be eligible for admission to the B.Tech Data Analytics program, candidates must have completed their 10+2 or equivalent examination with Physics, Mathematics, and Chemistry as compulsory subjects. They must also have scored a minimum of 50% in the qualifying examination.

Educational Qualifications: Candidates should have completed their higher secondary education (10+2) or an equivalent examination from a recognized board or institution.

Subject Requirements: Most institutions require candidates to have a strong background in mathematics, particularly in calculus, algebra, and statistics.

Minimum Percentage/Cutoff: Different institutions might have specific minimum percentage requirements in the qualifying examination (10+2). This percentage cutoff can vary between institutions.

Entrance Examinations: Some universities or colleges may conduct their own entrance examinations for admission to their B.Tech. programs, while others might consider national or state-level entrance exams. For instance, exams like JEE (Joint Entrance Examination), BITSAT (Birla Institute of Technology and Science Admission Test), or state-specific entrance exams could be considered for admission.

Additional Requirements: Some institutions may have additional criteria such as interviews, group discussions, or other selection processes as part of their admission procedure.

B.Tech. Data analytic Duration:

The duration of the B.Tech Data Analytics program is four years, divided into eight semesters.

B.Tech. Data analytic Selection Criteria:

The selection criteria for admission to the B.Tech Data Analytics program varies from college to college. Most colleges offer admission based on merit, while some may also conduct entrance exams or interviews.

B.Tech. Data analytic How to Apply:

Candidates can apply for the B.Tech Data Analytics program either online or offline. They must visit the official website of the college they wish to apply to and follow the instructions to complete the application process.

B.Tech. Data analytic Application Form:

The application form for the B.Tech Data Analytics program can be downloaded from the official website of the college or obtained from the college office.

B.Tech. Data analytic Application Process:

The application process for the B.Tech Data Analytics program typically involves the following steps:

Fill in the application form with the required details.

Upload the necessary documents.

Pay the application fee.

Submit the application form.

B.Tech. Data analytic Fee:

The fee for the B.Tech Data Analytics program varies from college to college. The average fee for the program ranges from INR 1 lakh to INR 5 lakhs per year.

B.Tech. Data analytic Syllabus:

The syllabus for the B.Tech Data Analytics program typically includes the following subjects:

• Mathematics
• Statistics
• Database Management
• Programming in Python and R
• Machine Learning
• Data Mining
• Data Visualization
• Business Analytics
• Big Data Analytics
• Artificial Intelligence

B.Tech. Data analytic Salary and Jobs:

After completing a B.Tech in Data Analytics, graduates can work in a variety of industries, including IT, healthcare, finance, e-commerce, and more. Some job roles available to graduates include:

• Data Analyst
• Business Analyst
• Data Scientist
• Marketing Analyst
• Financial Analyst
• Database Administrator

The average salary for graduates of the B.Tech Data Analytics program ranges from INR 3 lakhs to INR 12 lakhs per annum, depending on the job role and the organization.

B.Tech. Data analytic Career Opportunities:

Graduates of the B.Tech Data Analytics program can pursue careers in a variety of fields such as:

• Data Science
• Business Intelligence
• Financial Analysis
• Healthcare Analytics
• Marketing Analytics
• Social Media Analytics
• E-commerce Analytics

They can also pursue higher studies in the field of Data Analytics, such as M.Tech, MS, or MBA in Analytics.

B.Tech. Data analytics is a three year  bachelor degree level program in Computer Science and its application. The field of Data Analytics incorporates the elements of utilizing PC innovation or IT for revealing, investigating and checking information. B.Tech. Data analytics spreads out to up-and-comers the vital devices, procedures, and operations identified with the field for its application in different areas like KPO, BPO and other such. 

The Data Analytics program covers the specific administrations in the field which incorporates working in verticals of Banks, CRM, Risk Analysis, Retail Marketing and significantly more. The program is set with the perspective on decreasing the lack of labor in the regions perceived as one of the blasting businesses over the world which is information science and its entrance. The program empowers applicants in assimilating in them the details for computing information, drawing bits of knowledge and the devices required to produce and include data. 

Profession Prospects 

After the effective finishing of B.Tech. Data analytics program, up-and-comers of B.Tech. Data analytics have a plenty of alternatives in its regions and web improvement. They are well-prepared to settle on vocation prospects in regions of Banks, Data Cloud Companies, Websites, IT Companies, Gaming Companies, Data Cloud Companies, IT Consultancy Companies, Insurance, Telecom, Clinical, Telecom and other such both in corporate and open segment. They can progress toward becoming IT Consultants, Web Application Developer, IT Analyst, Software Designer, Software Programmer, Product Development Analyst, Database Administrator, Network Administrator, Technical Analyst and significantly more.

B.Tech. Data Analytics FAQ Answer with Question:

Q: What is B.Tech. in Data Analytics?

A: B.Tech. in Data Analytics is an undergraduate program that focuses on equipping students with the necessary skills and knowledge in data analysis, statistics, programming, and data-driven decision-making. It combines elements of computer science, mathematics, statistics, and business to prepare students for careers in the field of Data Analytics.

Q: What are the career prospects after completing B.Tech. in Data Analytics?

A: Graduates with a B.Tech. in Data Analytics have various career opportunities available. They can work as data analysts, data scientists, business analysts, data engineers, consultants, among other roles, across industries such as finance, healthcare, marketing, retail, and technology.

Q: What subjects are covered in the B.Tech. Data Analytics curriculum?

A: The curriculum typically includes subjects like mathematics (calculus, linear algebra, probability), computer science fundamentals, statistics, Data Analytics core subjects (data warehousing, data mining, machine learning), programming languages (Python, R), data visualization, business intelligence, ethical considerations, and practical projects.

Q: What are the eligibility criteria for admission to a B.Tech. in Data Analytics program?

A: Candidates usually need to have completed their higher secondary education (10+2) or an equivalent examination with a strong background in mathematics. Specific eligibility criteria might vary among institutions.

Q: Are there any specific tools or technologies taught in the B.Tech. Data Analytics program?

A: Yes, students often learn various tools and technologies used in Data Analytics, including programming languages like Python, R, SQL, data visualization tools like Tableau or Power BI, big data technologies like Hadoop, Spark, and more.

Q: What is the duration of the B.Tech. in Data Analytics program?

A: Typically, the B.Tech. in Data Analytics is a four-year undergraduate program, but the duration might vary depending on the university or institution offering the course.

Q: How can a B.Tech. in Data Analytics contribute to industries and society?

A: Data Analytics skills empower individuals to solve complex problems, make data-driven decisions, innovate, and contribute significantly across various industries by harnessing the power of data to drive improvements and innovations.

Q: What are the prospects for further education after completing B.Tech. in Data Analytics?

A: Graduates can pursue higher studies such as Master’s in Data Science, Business Analytics, or related fields to deepen their knowledge and expertise in specific areas of Data Analytics and advance their career prospects.