Data Science and Big Data Analytics

Online BCA in Data Science and Big Data Analytics is a 3-year bachelor’s degree focused on imparting skills in data science, data analytics, visualization, machine learning and big data. This course is offered in distance learning mode to make quality data science education accessible to more learners. The curriculum includes fundamentals of computer applications along with specialized training in statistical analysis, programming for data science, data mining, data warehousing, machine learning algorithms, Hadoop, Python, R, and various tools data scientists use. Students gain practical hands-on training on real-world data sets and projects to get industry-ready.
The program aims to develop the required competencies to extract insights from complex data. Graduates can take up roles like data scientist, data analyst, business analyst, machine learning engineer, big data engineer, etc. in various companies or can also consider higher studies in this domain. The online mode makes this an ideal course for working professionals as well. The program boosts analytical thinking, problem-identification and technology skills.

Key highlights Of Online BCA in Data Science and Big Data Analytics

• Approved by the Distance Education Bureau (DEB) under UGC, the online BCA in data science and big data analytics is a valid full-time bachelor’s degree comparable to a regular BCA.
• The 3-year course duration can be flexibly extended up to 6 years for working professionals who can learn at their own pace and convenience through distance learning mode.
• Students are taught in-demand programming languages like Python, R, SQL, NoSQL, and Java, and data science libraries like Pandas, NumPy, SciPy, etc., which are essential for data science roles.
• Core subjects covered include statistics, probability, linear algebra, machine learning, deep learning, data mining, data visualization, Hadoop, and cloud computing to build relevant data science skills.
• The curriculum includes live hands-on training on the latest tools, real-world data sets, and capstone industry projects to provide practical exposure to students in analytical tools, techniques, and methodologies.
• Students get access to virtual labs, online student support, discussion forums, and a modern LMS to facilitate effective learning of theoretical and practical concepts.
   

EligibilityCriteria For Online BCA in Data Science and Big Data Analytics 

The eligibility criteria for admission to online BCA in data science and extensive data analytics courses is passing 10+2 or equivalent from a recognized board. Applicants should have obtained at least 50% aggregate marks in their qualifying examination. Candidates from any stream like science, commerce, humanities, or vocational studies can apply for this course. There is no mandatory requirement for studying advanced mathematics in 10+2.

Also Read: Online BCA: Full form, Admission 2024, Fees, Syllabus, Entrance Exam & Career Scope

Career Opportunities After Completion Of Online BCA in Data Science and Big Data Analytics

• Graduates can find excellent career opportunities as data scientists in IT firms, tech startups, e-commerce companies, consulting agencies and organizations across different industries to analyze large data volumes, identify hidden patterns, predict outcomes, and drive data-based decision-making.
• They can work as business analysts in companies across banking, financial services, retail, marketing, healthcare, and other sectors to understand business needs, find data correlations, and provide recommendations to enhance business operations, processes, costs, and revenues.
• Students can work as data analysts in analytics and market research firms to examine trends and insights from large data sets to solve business problems in marketing, sales, finance, operations, logistics etc.
• They can get employed as prominent data engineers in tech firms and large enterprises to develop, maintain, troubleshoot, and optimize big data infrastructure comprising of Hadoop, Spark, AWS, HDInsight, etc.
• Graduates skilled in deep learning and machine learning can find roles as ML engineers in tech companies to develop, train, and continuously improve machine learning models like classification, prediction, recommendation engines, etc. to make systems more intelligent.
• They can work as organizational database architects to design database solutions and data models suited for reporting and analytics applications while ensuring security, performance, and scalability.

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