Business Intelligence Master's Degree Online – The Diploma in Data Analytics has been developed by the London School of Business and Finance to provide a qualification for students who wish to work in the business analytics industry or in professions where big data management will be useful.
Throughout the course, students receive full support and their development is often monitored through progress assessments. Student performance and satisfaction are monitored to ensure that the course meets the professional and personal development needs of the students; and industry contacts ensure the program is relevant and suited to the demands of a career in the industry. The Diploma in Data Analytics allows graduates to pursue entry-level careers in many industries, such as business analysts, web and social media analysts, and research analysts.
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The Diploma in Data Analytics program consists of essential core modules such as Statistical Analytics, Data Visualization, Data Analytics, Machine Learning, Cloud Computing, App Development, Internet of Things and Project Management. These are all essential and foundational skills and domains of knowledge for those who intend to make their way in this industry.
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The AWS cloud computing curriculum is integrated into the Diploma in Data Analytics, under the “Cloud Computing” module in Singapore. Currently expanding the scope of the collaboration and integrating it into other modules and programs to be rolled out in the near future.
All students participating in the Diploma in Data Analytics program in Singapore will be registered in AWS Educate. Students receive AWS promotional credits to gain hands-on experience with AWS cloud technology. Read more about the collaboration here.
The main purpose of the Diploma in Data Analytics is to provide students with knowledge and practical understanding of how the business analytics industry works. In particular, students will gain an understanding of how big data is managed and how useful information is extracted to make more informed decisions. Degree holders can demonstrate detailed knowledge and critical understanding of key concepts within big data management.
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Graduates of the Diploma in Data Analytics should be able to provide central support to different departments in an organization across all sectors. In particular, their working knowledge of big data management and its application in the business environment will make graduates of the Diploma in Data Analytics valuable members of any organization.
Specifies AWS-Amazon Web Services certification. Students can progress to the AWS Certification Exam and receive a certificate that meets the requirements of the AWS Educate Certification Exam.
Students must achieve an overall pass rate of 40%. In general, if students fail to achieve 40%, students will be given one retake for each failed assessment and if they fail this retake, students will have to redo the failed modules in their entirety before they can take an additional retake. attempt.
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The course is completed upon completion of the course and module duration. Students follow the planned number of study periods for the timetable provided and complete all modules of the course.
Candidates can enroll in individual modules as a short course that meets both entry and assessment requirements. Students are given the flexible learning option to study at their own pace by taking the required modular courses that make up the various certificates to meet their needs.
Both local and international students MUST meet the minimum English entry requirement for one of the following (excluding Mandarin programs):
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Students with non-standard entry requirements (e.g. different PEI qualifications, lack of equivalent Year 12 in home country, etc.) will be considered on a case-by-case basis, subject to the approval of the Academic Council.
This module introduces students to basic statistical concepts and applications for collecting, analyzing and interpreting data for decision-making using data.
This module prepares students to prepare data and ETL data from various sources and combine them into one dataset. Students run various machine learning concepts and algorithms and apply them to text mining and image analysis.
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This module introduces the student to concepts of machine learning and data mining for predictive analytics. Students learn what algorithms are available, what they do, and how to choose the best one and apply it to their data. Students learn to make predictions with the results of the model and to compare them between different models. Students can apply these concepts in business applications and other fields by studying patterns in the data and using them to make predictions.
This module prepares students to perform tasks in the cloud. Students are introduced to the concepts of cloud computing, such as databases and storage, virtual server creation, and security.
Cloud computing has become a highly demanding skill for many companies as they accelerate adoption of such digital tools. Because the cloud services market is large and growing, many companies are built and run on the cloud and need talent with the skills to help them drive the technical architecture, design and delivery of cloud systems. Singapore aims to bridge the education and career gap by preparing students with sufficient skills and knowledge for demanding fields of technology.
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This module familiarizes the student with concepts of IoT data for analysis. Students learn how to extract IOT data and store it in a cloud server. Students perform data mining from IOT devices and display the data for online monitoring. The checked data is stored in the cloud server. The student learns how to download data for data analysis.
This module prepares students to create simple apps that can be distributed. Students learn to design the interface for their apps and store and manipulate data, have logical sequences and make decisions (logic), as well as mobile functions. Students also learn to automate processes in app logic.
This module familiarizes the student with project management concepts according to the PMBOK syllabus. Students will understand the concepts of project management and will greatly benefit their business and IT operations. Students know the stages of each project from start to finish and all the different disciplines of the project management lifecycle.
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This module introduces the student to state-of-the-art visualization possibilities. Students use BI software to visualize data for insight and analysis. Create your own calculated fields and parameters, and aggregate different data sources. The only way Big Data becomes a major asset is in the hands and on the screens of leaders who master how to identify, transform and communicate it in compelling ways. understand stakeholders.
If you’re ready to become an Intelligence/Analytics Shark, we’re ready to help you drive stronger decision making, lower costs, optimized operations and bigger new wins.
This STEM-designated M.B.A. in Intelligence and Analytics ensures you meet the growing demand for data-informed decision makers.
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Classes for the Master of Administration program majoring in Intelligence and Analytics are offered weekdays at the NSU campus in Fort Lauderdale/Davie and online (asynchronously).
The tuition for the degree is $1,026 per credit hour. Discounted rates are available through our employer training program.
The College of also offers an Intelligence/Analytics Certificate program for students who are not seeking a degree. Read more about obtaining an Intelligence/Analytics certificate.
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NSU partners with more than 135 local and national organizations to offer discounted tuition to employees of up to 20% through our Employer Education Program.
NSU alumni are eligible for a 20% tuition discount on any graduate or certificate program. Alumni are also exempt from application fees and have access to a dedicated advisor to help them through the admissions process.
International students who graduate with a STEM degree increase their employability and may be eligible to stay in the United States for up to 36 months on optional practical training (OPT). Additional information on eligibility and requirements for the STEM OPT extension is available on the Department of Homeland Security website and through the university’s Office of International Affairs.
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NSU offers three MBA subjects with a STEM designation: Intelligence and Analytics, Process Improvement, and Supply Chain Management and Operational Systems.
* The course may be waived at the discretion of the Head of Department or Designated Person. Dropouts are only taken into account if a corresponding course with a grade C has been completed in the past 10 years.
Current Students: Consult your academic advisor for program requirements or visit SharkLink for your Degree Works audit. Program requirements may change, and your academic advisor or student auditor can provide you with the courses needed for the catalog period.
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