Bachelor of Science [B.Sc] (Computing and Law)

COMPUTING CORE

 

•   Statistical Thinking for Data Science:- This course is an introductory course in probability and statistics. It lays the mathematical foundation to prepare the students for computer science courses and their applications, in particular data science and related areas such as machine learning and artificial intelligence. The main topics covered in this course include probability, random variables, limit theorems, statistics, regression and inference, coupled with hands-on activities to illustrate their relevance to data science.

 

• Introduction to Programming:- In this course students acquire foundational computer programming concepts and skills through Python, a widely-used programming language. Upon successful completion of this course, the students will understand and be able to appropriately apply fundamental programming concepts including variables, functions, parameters, loops and conditions as well as basic data structures including arrays (lists in Python) and hash tables (dictionaries in Python) in simple applications.

 

• Data Management:- This course will cover fundamentals of relational database theory, important data management concepts such as data modelling, database design, database implementation and searches in un-structured data (i.e., text) in current business information systems. A series of in-class exercises, tests, pop quiz and course project will help students understand covered topics. Students are expected to apply knowledge learned in the classroom to solve many problems based upon real-life business scenarios, while gaining hands-on experiences in designing, implementing, and managing database systems.

 

• Information Systems & Innovation:- Information Systems and Innovation introduces students to the art and science of management and innovation from the perspective of a business-IT professional. The course provides an overview of fundamental business concepts with an emphasis on the challenges of managing the integration of business and technology. Through peer-led case discussions, lectures on IT and Innovation topics, in-class activities, students develop a concrete understanding of how information systems and innovation can be used to solve real-world problems and create business value in a variety of industry settings. Core concepts are reinforced through individual and team-based assignments that emphasize independent exploration, knowledge synthesis and critical reflection.

 

• Digital Business - Technology and Transformation:-  This course introduces students to the fundamentals of digital business, technologies and the principles and practices that lead to successful digital transformation. With the exploitation of digital technologies such as artificial intelligence, cloud, analytics, mobile networks, social media, and the Internet of Things, organizations can develop a competitive edge that can boost efficiency and drive new business models that lead to an increase in the top and bottom lines. The course focuses on digital strategies using four components namely reimagining the business, re-evaluating value chain, reconnecting with customers and rebuilding the organisation. Challenges such as data security and governance, regulatory constraints, and future directions of digital business will be discussed. Besides helping students to understand the key concepts, tools and API services are introduced to implement the digital and analytics solutions. Real world examples and case studies of how organizations innovate and drive digital transformation will also be covered.

 

• Business Process Analysis and Solutioning:- n any organization, a business process is a key asset which is a collection of related, structured activities or tasks that produce a specific service or product (serve a particular goal) for a particular customer or customers. The business objective of an organization is often to increase process speed or reduce cycle time; to increase quality; or to reduce costs, such as labour, materials, scrap, or capital costs. In other words, a management decision to invest in business process modeling is often motivated by the need to improve the efficiency and effectiveness of the processes that exist within and across organizations. Business Process Analysis and Solutioning course presents the concepts and methodologies required to execute a methodical approach to translate business process change requirements into clear IT solutions. The course will cover business process modelling and analysis. The goal is to identify the gaps in the business workflow and recommend the solutions based on technology solutioning or restructuring the workflows for process optimization. The course will ensure that the students can smoothly translate enterprise business objectives into an effective IT solution architecture. Business process innovation has become a growing interest of several sectors due to the exponential growth of new technologies such as social media, big data, analytics, machine learning, IoTs and artificial intelligence. The students will be exposed to the various technologies and there role in process innovation. They will be able to analyse and review the innovated the business processes by studying some industry cases of digital transformation.

 

•   Interaction Design and Prototyping:- nteraction design is an iterative process. In early iterations, we focus on the most important problems, building inexpensive prototypes, and conducting fast evaluations. In later iterations, we use methods that take more effort to apply, but give more robust results. In this course, you will be equipped with the know-how to lead a professional interaction design project.

 

•   Software Product Management:-  This course introduces students to the core concepts and skills underlying successful software product management. Students will learn about the distinct characteristics of software products vis-à-vis other industrial artefacts, and how these characteristics can be leveraged in managing the software product life cycle. With an emphasis on the elements of the software product management framework, students will acquire hands-on product management skills through classroom instruction, term projects, and presentations.

 

 

LAW CORE

• Contract Law 1
• Contract Law 2
• Law of Torts
• Criminal Law
• Law of Business Organisations
• Intellectual Property Law
• Privacy and Data Protection Law
• The Singapore Legal System and Legal Analysis Skills

The current fees for the programme are:

 

Fees

 

Application

• S$100 (inclusive of GST)

 

*Non-refundable.

 

Registration

• Singapore Citizens & Permanent Residents S$400 (inclusive of GST)
• Foreigners S$500 (inclusive of GST)Non-refundable.

*The fees include matriculation, orientation activities, library/computer account, insurance and other miscellaneous fees.

 

Tuition

• *S$48,000 (inclusive of GST)

 

*Non-refundable.

With a BSc (Computing & Law) Degree (3.5 to 4 years), graduates can look forward to careers in the following sectors:

 

 

BUSINESS & PUBLIC SECTORS

• Digital Transformation Consultant
• Public Interest Technologist
• Regulatory & Policy Advisor
• Technology Innovator

 

CONSULTING & FINANCE SECTORS

• Compliance & IT Auditor
• Risk Management Analyst
• Technology Strategist

 

LEGAL SECTOR

• Legal Knowledge Engineer
• Legal Tech / Project Manager
• Legal Technologist
• Lawyers, In-House, Legal Advisors Practicing Technology Law*

 

* BSc (Computing & Law) with a Fast-Track to Juris Doctor (+2 years) , subject to students meeting the eligibility criteria for enrolment in the Juris Doctor programme offered by SMU School of Law