BEng Hons Aerospace Engineering
The BEng Hons Aerospace Engineering program at the University of Surrey is designe...
Guilford - UK
INTAKE: Feb & Sept
Intake:- Febuary & September
The MSc Business Analytics with Placement program at the University of Surrey is designed to equip students with advanced analytical skills and practical experience in the field of business analytics. This program combines rigorous academic study with a placement opportunity, allowing students to apply their knowledge in real-world business settings.
Data Analysis and Visualization: The program focuses on developing skills in data analysis and visualization techniques. Students learn to extract insights from large datasets using statistical methods, data mining, and visualization tools. They gain proficiency in interpreting and communicating data-driven insights to drive informed business decisions.
Predictive Analytics and Machine Learning: The program explores predictive analytics and machine learning algorithms to forecast future trends and outcomes. Students learn how to build predictive models and apply machine learning techniques to solve business problems, such as customer segmentation, demand forecasting, and fraud detection.
Business Intelligence and Data Warehousing: The program covers the fundamentals of business intelligence and data warehousing. Students learn how to design and develop data warehouses, extract data from multiple sources, and create comprehensive business intelligence solutions to support decision-making processes.
Optimization and Decision Analysis: The program introduces optimization techniques and decision analysis models. Students learn how to use mathematical optimization methods to solve complex business problems, such as supply chain optimization, production planning, and resource allocation.
Big Data Analytics: The program addresses the challenges and opportunities associated with big data analytics. Students explore technologies and tools for processing and analyzing large volumes of structured and unstructured data. They gain insights into big data management, data governance, and ethical considerations in data analytics.
Placement Opportunity: The placement component of the program provides students with the opportunity to gain practical experience in a professional business environment. Students have the chance to apply their analytical skills and knowledge to real-world business problems, working with industry-leading companies. The placement duration may vary, typically ranging from three to six months.
Guilford - UK
IELTS 7
£ 22000
Postgraduate Entry Requirements:
Students must provide:
Work experience: Some postgraduate courses may require relevant work experience in the field.
It is important to note that meeting the minimum entry requirements does not guarantee admission, as the university considers factors such as availability of places and competition for the program. Additionally, some courses may have higher entry requirements or additional selection criteria, such as interviews or portfolio submissions.
The University of Surrey offers a range of scholarships and financial aid options to support students in their academic journey. These scholarships are designed to recognize excellence, provide access to education, and support students in achieving their educational goals.
Graduates of the MSc Business Analytics with Placement program from the University of Surrey have excellent career prospects in a wide range of industries and sectors. The combination of theoretical knowledge, practical skills, and industry experience makes graduates highly sought after by employers.
Data Analyst: Graduates can pursue careers as data analysts, leveraging their analytical skills to extract insights from data, develop analytical models, and provide actionable recommendations to businesses.
Business Intelligence Manager: Graduates can work as business intelligence managers, responsible for designing and implementing business intelligence solutions, managing analytics projects, and driving data-driven decision-making within organizations.
Data Scientist: Graduates can enter the field of data science, applying their advanced analytics skills to solve complex business problems, develop predictive models, and drive data-driven strategies.
Consultant: Graduates can work as analytics consultants, providing advisory services to organizations seeking to leverage data analytics for competitive advantage. They may work in consulting firms or as independent consultants, assisting businesses in optimizing their operations and making data-driven decisions.
Project Manager: Graduates can pursue careers as project managers, leading analytics projects within organizations, ensuring the successful implementation of analytics solutions, and driving organizational transformation through data-driven initiatives.