Business & Management
USD 178240
| Year | Name | Fees | Total |
|---|---|---|---|
| 1st Year | Tution Fee | USD 44560 | 44560.0 |
| 2nd Year | Tution Fee | USD 44560 | 44560.0 |
| 3rd Year | Tution Fee | USD 44560 | 44560.0 |
| 4th Year | Tution Fee | USD 44560 | 44560.0 |
| Starting Date | Application Deadline | Status |
|---|---|---|
| 2022-01-01 00:00:00.000 | 2022-01-15 00:00:00.000 | Active |
| 2022-08-01 00:00:00.000 | 2022-08-15 00:00:00.000 | Active |
Academics: Applicants should have 65%( varies program to program ) in their last Qualification .
English : IELTS: Applicants Should have a minimum score of 6.5.
1. Application along with a non-refundable application fee of $75 and supporting documents will be processed on the TEN Agent portal.
2. Students will receive the admission offer either conditional or unconditional on his TEN Agent portal.
3.After getting the Offer letter(i20) , After accepting the offer Fee invoice will be generated on student account.
4.After getting the fee invoice student can pay the fee and fee receipt can be found on TEN Portal (Ten Agents).
BUAN 205. Introduction to Programming for Business Applications. 3 Credits.
Introduction to computer programming and data analysis utilizing an object-oriented programming language. Topics include input/output statements, variables, arithmetic and logical operations, decision statements, loop structures, functions, data formats (csv, json, xml), web scraping and libraries for data manipulation/analysis. In this course, problem solving and algorithm development skills will be honed on assignments involving business applications. Prerequisite: CIS 110.
BUAN 227. Business Statistics. 3 Credits.
Applications of statistical methods of data analysis and decision making. Coverage includes descriptive statistics, statistical measures and estimation, testing of hypothesis, linear regression and correlation analysis. Use of computer software for statistical analysis and business applications. Prerequisite: MATH 153 (or MATH 105), MATH 154, CIS 110.
BUAN 305. Business Analytics Spreadsheet Modeling. 3 Credits.
This course covers examples of descriptive analytics, predictive analytics, and prescriptive analytics. Topics include, data identification, preparation and representation; risk analysis and simulation; project management; decision analysis; and optimization. The course provides a balance between understanding processes for analytical modeling and developing the tools to represent and solve decision making problems. It introduces students to the fundamental concepts and tools needed to understand the emerging role of business analytics in organizations and shows students how to apply basic business analytics tools in a spreadsheet environment, and how to communicate with analytics professionals to effectively use and interpret analytic models and results for making better business decision. Emphasis is placed on applications, concepts and interpretation of results. Prerequisites: BUAN 227.
BUAN 310. Business Data Management. 3 Credits.
This course introduces the core concepts of data and information management. It is centered around the core skills of identifying organizational information requirements, modeling them using conceptual data modeling techniques, converting the conceptual data models into relational data models, and implementing the models using a commercial relational database management system. Additional topics include database administration, security, transaction management, distributed databases and SQL programming. Prerequisites: BUAN 205/CIS 205.
BUAN 317. Principles of Data Visualization. 3 Credits.
This course introduces the core concepts, principles and technologies that are utilized to visualize data. Students will learn about that different dimensions of data, how different types of data are encoded and how to analyze, summarize and visualize data. Spreadsheet-based and web-based visualization tools will be utilized throughout the course. Pre-requisites: BUAN 227, BUAN 205/CIS 205.
BUAN 327. Advanced Business Statistics. 3 Credits.
The course aims to broaden students' knowledge of statistics as an instrument for extracting information from data and a basis for enhanced decision-making in every aspect of business. Topics include regression analysis, time series forecasting, ANOV and design of experiments. Prerequisites: BUAN 227 and BUAN 205/CIS 205.
BUAN 350. Supply Chain Analytics. 3 Credits.
Supply chains are an integral part of contemporary business practices. This course focuses on understanding key areas of logistics and supply chain management where data analytics can help the companies overcome the complexities of today's marketplace. Students will be introduced to various methods and tools for descriptive, predictive and prescriptive analytics to address supply-chain decision problems such as efficiently managing the network of suppliers, manufacturers of goods/services, and distributors. Much of the course concepts will be covered through case studies and simulations. This course may not be taken concurrently with MGMT 307. Pre-requisite: BUAN 227.
BUAN 375. Assimilating the Internship Experience in Business Analytics. 3 Credits.
In consultation with the faculty advisor, students design and complete an independent project related to their BUAN internship. This project aids in assimilating a practical off-campus work experience in business, industry, government or cultural organization with the students' studies and/or career interests. This course is subject to the approval of the Department Chair, Dean, and Internship Coordinator of the School of Business. The student is required to pre-register with the Internship Coordinator and to obtain internship placement prior to the start of the semester. (Free elective).
BUAN 410. Data Mining for Business Applications. 3 Credits.
This course addresses how technology can be used to connect data to decision making. The use of real-world examples and cases places data mining techniques in context and fosters the development of data-analytic thinking, and also illustrates the proper application of data-mining techniques is as much an art as it is a science. In addition to the cases, the course features hands-on exercises within data mining software. Prerequisites: BUAN 310/CIS 310.
BUAN 415. Security, Privacy & Ethical Issues in Business Anayltics. 3 Credits.
This course covers the tools, techniques and issues related to securing and using digital information. Topics include authentication, anonymity, legal and ethical issues of big data, basic cryptographic tools, access management, web tracking technologies and digital rights management. Issues will be examined from both the business owner and user perspective.
BUAN 427. Artificial lntelligence and Machine Learning. 3 Credits.
This course focuses on applying and programming machine leaming algorithms such as artifrcial intelligence and neural networks, KNN classification, SVM, logistic regtession to solve data-intensive business problems. Students will be expected to design and implement a data driven solution to a real-world business problem. Pre-requisites: BUAN/CIS 205, BUAN 227.
BUAN 440. Big Data Analytics for Business Analytics. 3 Credits.
This course introduces the student to the fundamental concepts of Big Data management and analytics. This course will examine the challenges faced by applications dealing with very large volumes of data as well as in proposing scalable solutions for them. Modern big data technologies such as current map-reduce and NoSQL platforms will be ultilized to solve large business analytics problems. Pre-requisite: BUAN 410 and BUAN 427.
BUAN 460. Business Analytics Seminar. 3 Credits.
This course exposes students to evolving techniques and theories on issues of current professional interest in information system development and practice. Topics may include network design and management, software engineering computer and network security, ethical, global and legal issues of information systems. Prerequisite: varies according to topic.
BUAN 475. Assimilating the Internship Experience in Business Analytics. 3 Credits.
This course may be used as a second internship experience and/or with senior status. (Free elective).
Modern businesses generate and store massive amounts of data — from web clicks and sales, to advertising placement and consumer habits. The field of business analytics involves drawing correlations and insights from this data. These conclusions are used to drive business decisions and actions.
Analytics is one of the fastest growing areas of business. According to the Bureau of Labor and Statistics, job growth in this field will increase by 30% in the next 10 years. Companies, both large and small, are hiring new analysts each year to help optimize their business processes and services.
Analytics is also one of the most practical and hands-on fields in today’s world. With the increase of data-capturing technology, business analysts are needed in nearly every industry, including:
Passport Size Photograph ,Passport copy
All academics documents 10th, 12th ,Bachelor’s marksheets(for master’s)
Bank Documents (Bank statement, Bank Certificate ), Affidavit of Support
1-LOR(Mandatory) for bachelors , At least 3-4 LOR For Masters
Work Experience letter (graduates)
60% in graduation for Masters .
CV, Affidavit of Support
Health insurance.
Statement of Purpose(SOP)
Offer Letter(i20)
Show Funds:
For Public college :Funds requirements UG and PG- $58,000 USD (Only in Current account)
Sevis Fee:360USD(This is to be paid through Credit Card only).
Embassy fee:160USD(Paid through Axis Bank)
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