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School of Physical and Mathematical Sciences-MSc in Analytics
物理与数学学院-分析学
（二）专业介绍
The Master of Science (MSc) in Analytics programme is an interdisciplinary post-graduate programme suitable for professionals seeking to leverage business analytics in their respective fields, as well as recent college graduates pursuing a career in the data science industry.
分析理学硕士(MSc)是一个跨学科的研究生项目，适合寻求在各自领域利用商业分析的专业人士，以及在数据科学行业寻求职业生涯的大学毕业生。
Analytics is the science of finding patterns in data to aid decision making. It is an interdisciplinary field rooted in applied mathematics, with a wide range of applications in business, finance, and industry. Modern businesses are turning toward increasingly sophisticated analytics methods to offer improved shopping suggestions to consumers, target previously-neglected markets, and improve the efficiency of their internal logistical processes and workflows.
分析学是一门从数据中寻找模式以帮助决策的科学。它是一个植根于应用数学的跨学科领域，在商业、金融和工业中有广泛的应用。现代企业正转向越来越复杂的分析方法，为消费者提供改进的购物建议，瞄准以前被忽视的市场，提高内部物流流程和工作流程的效率。
The MSc in Analytics programme provides the skills and knowledge for applying cutting-edge data science techniques to business challenges in the modern economy.
分析理学硕士课程提供将尖端数据科学技术应用于现代经济中的商业挑战的技能和知识。
（三）课程结构
Programme Structure
The MSc in Analytics programme is an intensive one-year full-time or two-year part-time programme by coursework, taught in three semesters. Upon completion of study, students are awarded a Master of Science (MSc) in Analytics degree.
The programme consists of a total of 30 Academic Units (AU), with 24 AU stemming from core courses and 6 AU from elective courses:
11 Core Subjects
8 Elective Modules to Choose From
1 Analytics Practicum Module (Self-soucred Internship)
Ad-hoc Seminars on Analytics Software Tools
Ad-hoc Seminars from Industry Professionals
The curriculum strongly emphasizes the application of analytics on real-world data, and includes one practicum core module of 6 AU. Our full-time students had found internships in organizations for the practicum module that include APL, BreadTalk, Charles & Keith, DHL, Experian, Grab, UPS, Shopee, Lazada, DBS, UOB, Johnson & Johnson, JR Group, Lenovo, MSD, PSA, and PwC.
The requirements for graduation are as follow:
Successful completion of all requirements as prescribed by the programme of study; and
A minimum CGPA of 2.50 is attained at the completion of the programme of study.
项目结构
分析学硕士课程是一年全日制或两年兼职的强化课程，分三个学期授课。完成学业后，学生将获得分析学理学硕士学位。
课程共设有30个学分，其中24个学分来自核心课程，6个学分来自选修课:
11个核心课程
8个选修课可供选择
1分析实务模块(自我实习)
关于分析软件工具的特别研讨会
由业界专业人士举办的专题研讨会
课程强调对真实世界数据的分析的应用，并包括一个实习核心模块的6au。我们的全日制学生在APL、BreadTalk、Charles & Keith、DHL、Experian、Grab、UPS、Shopee、Lazada、DBS、大华银行、强生、JR集团、联想、MSD、PSA和普华永道等机构找到实习机会。
毕业要求如下:
顺利完成课程所规定的所有要求;和
完成课程学习后，最低CGPA为2.50。
