What is the B Tech in Big Data Analytics Syllabus

techmanga June 27, 2021 0 Comments



What are the top B.Tech in Big Data Analytics Entrance Exams?


Different entrances has different pattern of question like:JEE: Joint Entrance Exam is conducted in a Computer Based Mode for B.Techcourse. There are 90 questions (30 questions from Physics, Chemistry andMathematics each) for a duration of 3 years. Questions are of both the types:Objectives and Non-Objective. 4 marks are given for correct response and 1mark is deducted for incorrect response for objective questions.UPESEAT: University of Petroleum & Energy Studies Engineering Aptitude Test isan Computer Based test conducted for B.Tech courses. The application fee isINR 1350 through online mode. The test contains 200 questions fromMathematics, Physics, Chemistry, English Language Comprehension and GeneralAwareness for 3 hours. There is no negative marking and 1 mark is provided forcorrect response.VITEEE: Vellore Institute of Technology Engineering Entrance Examination is anational level exam conducted by VIT University. The test contains 125 MCQquestions from Chemistry Physics, Mathematics, Aptitude and English for aduration of 2 hours and 30 minutes.KCET: Karnataka Common Entrance Test is conducted for providing admission tovarious undergraduate course including B.Tech. The application form isavailable only through online mode. The test contains 3 papers o Mathematics,Physics and Chemistry or 60 MCQ questions each for duration of 80 minutes.HITSEEE: Hindustan University Entrance Examination is conducted for providingadmission to engineering and architecture courses. The entrance exam is ofobjective type multiple choice test.Entrance Exam | Conducting body | Exam Dates | Exam Mode —|—|—|— JEE Main | NTA | February 23 – 26, 2021 March 15 – 18, 2021 April 27 – 30, 2021 May 24 – 28, 2021 | Computer Based Test UPESEAT | University of Petroleum & Energy Studies, Dehradun | To be announced| Online ( Computer Based) VITEEE | Vellore Institute of Technology University | 2nd- 3rd week of April2021 | Online ( Computer Based) KCET | Karnataka Examination Authority | Third/ Fourth week of April 2021 |Offline ( Pen-Paper Based) HITSEEE | Hindustan Institute of Technology and Science | 5th – 9th August2020 | Online Syllabus

What is the B.Tech in Big Data Analytics Syllabus?


A typical B.Tech in Big Data Analytics syllabus is written below –The tableshows some of the topics taught in the course throughout the 4 years ofeducation.Semester I | Semester II —|— Mathematics I | Mathematics II Physics | Chemistry Programming and Data structures | Advanced Data Structures Big Data Overview | Database Management Systems Basic Electronics Engineering | Environmental Science Design Thinking | English Communication Semester III | Semester IV Design and Analysis of Algorithms | Software Engineering & Project management Computer System Architecture | Micro Processor & Embedded Systems Advanced Database Management Systems | Distributed Ingestion Engineering Mechanics | Advanced Programming using Java Operating Systems | Distributed Analysis Functional Thinking I | Open Elective-1 Semester V | Semester VI Object Oriented Analysis and Design | Artificial Intelligence Computer Graphics | Data Communication and Computer Networks Distributed Processing I | Distributed Processing II Functional Thinking II | Data Exploration at Scale Formal Languages and Automata Theory | Program Elective II: Big Data on Cloud Program Elective-1: Scalable Data Science | Open Elective- HSS

What after B.Tech in Big Data Analytics?


Big Data tools are required to clean, standardize, and map data from multiplesilos, both internal and external, in view of the need to enhance the veracityof the data feeding into a big data network. Big Data engineers control andperform data- categorization, customization and noise- reduction from relateddata sources.Big data has implementations in numerous industries/areas. This sector isdeveloping at a healthy rate and increasing. In various industries anddomains, it is set to play a major role. Professional Big Data experts are inhuge demand in such conditions. IT agencies, MNCs, consultancies, data sciencecompanies, data analytics companies, engineering companies, softwarecompanies, etc. are typically employed by them.Job Position | Job Description | Average Annual Pay Scale —|—|— Big Data Architect | In any company, a Big Data Architect is responsible forconverting numbers into plain English, for gathering data, whether its salesstatistics, market analysis, logistics, or transport costs. | INR 15-16 P. A Big Data Project Manager | A Big Data Project Manager is responsible formanaging the global supply of ICT resources to handle analytics relevant tothe data life cycle, the use of Big Data and Semantic Computing applicationsfor companies, and UBIS Business Lines/Service Lines. | INR 3-4P. A Big Data Specialist | A Big Data Professional specializes in revolutionarydevelopments in technology and secures the requisite infrastructure and assetsas needed. | INR 5-8 P. A Big Data Engineer | A Big Data Engineer is responsible for the development andmaintenance of the different infrastructures and resources for big data.They’re called Computer Scientists, too. | INR 8-12 P. A

B.Tech in Big Data Analytics FAQs


Ques: What is the difference between CSE and CSE with a specialization in bigdata analytics for a B.Tech?Ans: In CSE (regular), all the required subjects with equal emphasis on all ofthem will be taught to you. So it will make you familiar with all the subjectsthat are relevant for computer science to follow a standard CSE course. Thecourse will be more oriented on Big Data and its uses for CSE with a specialtyin big data. Therefore, with regards to Big Data, what you will be told willbe.Ques. What are the subjects required for B. Tech admission in Class 12?Ans: Students from a science background with Physics, Chemistry, andMathematics can opt for this course.Ques. What is B.Tech (Big Data Analytics) Eligibility?Ans: The basic eligibility for this course is at least 50% in Class 12 withPhysics, Chemistry, and Mathematics as core subjects.Ques. What is the course duration of B.Tech (Big Data Analytics)?Ans. The B.Tech in Big Data Analytics has a course duration of four yearswhich is further divided into eight semesters.Ques. Is there any entrance exam for admission to B.Tech (Big Data Analytics)?Ans. Yes, there are a few entrance exams conducted for admission to thiscourse. Some of the top ones are JEE Main, BITSAT, and SRMJEEE, etc.Ques. What is the admission procedure for admission to the B.Tech (Big DataAnalytics)?Ans. On the basis of merit, few colleges accept candidates, while few collegesadminister their own entrance tests. Candidates are advised to consult thewebsite of the college to read about the admission process of a specificcollege.Ques. What is B.Tech (Big Data Analytics) course fees?Ans. The course fees vary from college to college. It usually ranges from Upto 2 to 3 Lakhs.Ques. Which are the recommended books for in B.Tech (Big Data Analytics)Syllabus?Ans. Some of the recommended books for this course are: * The Data Warehouse Lifecycle Toolkit, Kimball et al., Wiley 1998 * Data Warehouse Design: Modern Principles and Methodologies, Golfarelli and Rizzi, McGraw-Hill, 2009 * The Data Warehouse Toolkit, 2nd Ed., Kimball and Ross, Wiley, 2002 * Advanced-Data Warehouse Design: From Conventional to Spatial and Temporal Applications, Elzbieta Malinowski, Esteban Zimányi, Springer, 2008Ques. Which companies are the top recruiters for the graduates of this course?Ans. The B.tech (Big Data Analytics) graduates are hired by companies likeMicrosoft, Oracle, IBM, Infosys, TCS, HCL, Accenture, etc.Ques. What is the average salary for the graduates of B.tech (Big DataAnalytics)?Ans. The average salary for data scientists is ~698,412. For less than oneyear of experience, an entry-level data scientist will earn about ~500,000annually. Early level data scientists with experience of 1 to 4 years arearound 610,811 per annum.Ecommerce Mobile App Development GuideIf you want your own ecommerce mobile app then it is quite important to getfamiliar with its majorly used types. This will help you to choose a betterand sustainable business model for your business. It will help you to targetyour audience in more effective ways and it will ensure amazing businessgrowth.

B2B eCommerce Mobile App


The B2B eCommerce mobile apps mostly comprise those apps that are used forpurchasing between business to business purposes only. The best example ofsuch an app is Alibaba where businesses and individuals can purchase goods inlarge quantities. Such a marketplace is not limited only to shopping in largequantities, these market places can sell items of large capacities as well.For example, such platforms may sell large machinery and equipment forindustrial purposes as well. The scope of such applications is limitless.

Advanced eCommerce Analytics


So much depends on the correct information on any business. It’s currentperformance, growth possibilities, future marketing strategies, ways to avoidmarket challenges, and many more little things that are responsible for thegrowth of a business. eCommerce business is no exception. Here are thefollowing ecommerce analytics tools that are crucial for your eCommercebusiness.

Fox Global Center for Big Data in Mobile Analytics


The center is an interdisciplinary leader in big data in the mobile analysis.It aims to facilitate research, industry practice, education, and technologytransfer in the cross-disciplinary domain of big data.The center also hosts an annually big data conference where they engageindustry and academic experts to discuss the potential of big data and thecontroversies related to it.

Data Analytics Club


The goal of the club is to educate students about the latest advances andapplications of analytics in different fields such as finance, operations,marketing, etc. It empowers managerial-level analytical knowledge in studentsby hosting events where students learn about best practices in analytics fromindustry leaders and experts.They also have workshops that help students in learning how to leverage dataanalysis skills in the recruitment process as well as in the professionalworld by making data-driven decisions.

Business Analytics Center


Business Analytics Center at Scheller school states three core mission ontheir website: 1. 1. Develop and deliver world-class business analytics education: It prepares students to lead a new analytics-enabled workforce and engages with industry partners to provide real-world experiential learning opportunities. 2. Facilitate leadership through collaboration and applied research: It enables the advancement of leading-edge business analytics techniques and tools with research faculty, industry partners, and students. 3. Build and support the Business Analytics team: It fosters the development and delivery of innovative programs tailored to the company and team needs such as professional education, executive education, and corporate training programs.The center also hosts various events such as career fairs and internship expo,industry speakers, competitions, and training workshops.

Marketing Analytics Center


The marketing analytics center at Goizueta provides a forum for faculty,students, and industry representatives to share the latest decision-makingtools in the field of marketing analytics. They even have a Fellow programwhere the center provides opportunities for MBA students to be a part of theanalytics community at Goizueta. The selected students get a chance to supportthe annual conference and research projects.The conference brings together students, marketing professionals, and facultyto learn the latest trends in analytics and provide networking opportunities.

MBA Specialization in Analytics and Operations


The NUS Business School offers an MBA specialization in analytics andoperations. Its course is designed to equip students to become managers whocan draw business insights from data, translate them into operational andstrategic decisions, and execute the decision efficiently.

Business Analytics Research Center


In 2015, the imperial college business school opened a business analyticsresearch center with KPMG as a partner. The center focuses on bringingtogether data science specialists to do cutting-edge research on how businessanalytics, artificial intelligence, and data will change business and society.It uses one of the world’s most advanced data visualization spaces – the KPMGData Observatory.The center also hosts various events for students to network and enhance theirknowledge in business analytics. They have Data Spark Award, where Imperialcollege students collaborate with businesses to solve real-life problems.

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