NUS新加坡国立大学商业分析专业 BSc Business Analytics 开设在计算机学院下为期四年的本科课程。当今的企业依靠数据运行。从网络分析和会计到市场研究和人口统计，我们以信息为中心的世界年复一年地产生无数 TB 的数据。数据分析师在理解所有数据方面发挥着越来越重要的作用。作为商业分析专业的学生，​​您将在构成数据科学支柱的统计和分析方法方面打下坚实的基础。您将学习使用电子表格、汇总数据、评估统计显着性以及确定统计趋势。NUS 教育为计算的所有领域提供了强大的技术基础，这意味着您的商业分析培训将得到强大的通用计算机技能的支持。因此，新加坡国立大学的商业分析学位将为您提供在当今发展最快、最令人兴奋的职业中建立职业生涯所需的技能和专业知识。

Core Modules

Introduction to Business Analytics

Programming Methodology

Ethics in Computing

Matrix Algebra, or MA2001 Linear Algebra I2

Calculus for Computing, or MA2002 Calculus2

Econometrics Modeling for Business Analytics

Data Management and Visualisation

Optimization Methods in Business Analytics

Business Concepts and Metrics for Analytics

Programming Methodology I

Data Structures and Algorithms

Business and Technical Communication

Probability and Statistics

BT3102 Computational Methods for Business Analytics

BT3103 Application Systems Development for Business Analytics

IS3103 Information Systems Leadership and Communication

BT4103 Business Analytics Capstone Project

Programme Electives (PE)

Choose 6 modules to make up 24 MCs from Lists A, B and C, with at least 2 modules each from Lists A and B. 5 of 6 modules must be at level-4000. 

List A (Business Applications):

DBA3712 Dynamic Pricing and Revenue Management

IE3120 Manufacturing Logistics

IS3240 Digital Platform Strategy and Architecture

BT4013 Analytics for Capital Market Trading and Investment

BT4016 Risk Analytics for Financial Services

BT4211 Data-Driven Marketing

BT4212 Search Engine Optimization and Analytics

DBA4811 Analytical Tools for Consulting

IS4241 Social Media Network Analysis

IS4250 IT-enabled Healthcare Solutioning

MKT4812 Marketing Analytics

List B (Analytics Methods):

BT3017 Feature Engineering for Machine Learning

IE2110 Operations Research I 5, or DBA3701 Introduction to Optimisation

CS3244 Machine Learning

DBA3803 Predictive Analytics in Business

BSE4711 Econometrics for Business II

BT4012 Fraud Analytics

BT4015 Geospatial Analytics

BT4221 Big Data Techniques and Technologies

BT4222 Mining Web Data for Business Insights

BT4240 Machine Learning for Predictive Data Analytics

IS3107 Data Engineering

IS4241 Social Media Network Analysis

IE4210 Operations Research II

ST3131 Regression Analysis 6

ST4245 Statistical Methods for Finance

List C (Technology Implementation):

IS3221 ERP Systems with Analytics Solutions

IS3261 Mobile Solutions Design and Development

BT4014 Analytics Driven Design of Adaptive Systems

IS4228 Information Technologies in Financial Services

IS4302 Blockchain and Distributed Ledger Technologies

NRIC (Front and Back) / Passport

Secondary school examination result slip

High School examination transcript/result slip e.g. Year 11 High School transcript

National Level High School examination transcript / result slips [Actual] (if applicable)

Score report(s) for additional information (if you have indicated the scores in application) :

IELTS, TOEFL, C1 Advanced, AP, ACT with Writing, SAT and SAT Subject Tests)

International Science Olympiad award certificate (if applicable)

Notice of Exemption from full-time National Service (If applicable)

Medical report(s) or Doctor's memo

(applicable if you have indicated medical condition(s) or disabilities in your application)

Criminal records (if applicable) 

Personal statement

Deadline: 2.28

BA毕业生就业面还是比较广阔的，就业行业覆盖互联网、游戏、娱乐、IT服务等，毕业生雇主包括IBM、亚马逊、PWC、沃尔玛等，职位有： 数据分析师 产品经理 机器学习工程师 高级增长分析师 产品分析师 战略与运营分析师 业务分析师 人物分析师 顾问 商业智能分析师 市场分析师 客户分析师 数据科学家 商业取证分析师 战略定价分析师 数据工程师 供应链分析师 高级风险分析师

高考：高考成绩超过一本线50以上，雅思6.5单项6.5，同时还需要通过国立大学在国内举办的笔试和面试，才能录取

'A' Level (or equivalent), a good grade in either GCE 'A' level H2 / IB HL Mathematics is required. In addition, students are also required to have a good grade in [GCE 'A' level H2 Physics / Computing / Chemistry] 对于还没毕业的申请人还需要提供SAT或者ACT成绩

IB HL Physics / Computer Science / Chemistry]. Students entering without H2 / HL Physics must have at least GCE 'O' Level Physics (or equivalent).