Shaheed Sukhdev College of Business Studies Admission 2023 will be announced soon. SSCB is a leading institution of the University of Delhi. It was organized in August 1987 by the Delhi Administration on the initiation of UGC and the Ministry of Human Resources, CBS, in a short period of 25 years, established itself as the premier undergraduate management school. University of Delhi (DU) offering Bachelor of Management Studies (BMS), BBA (Financial Investment Analysis), B. Sc. (H) Computer Science and PG Diploma in Cyber Security and Law. SSCBS is proud to introduce a one-of-a-kind Data Analytics Course certified by the University of Delhi. The 125-hour course has been made under the guidance of professors from some of the leading institutes of the country, including IIMs and IITs, with a focus on machine learning and statistical methods for data analysis. The course also offers a first-hand learning experience of python programming language & python/R programming.
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Delhi University Admissions 2027 Latest Update as on 03 Sep 2026
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Checked on 03 Sep 2026
As of September 3, 2026, no official notification or circular regarding Delhi University Admissions 2027 has been released by the University of Delhi or the National Testing Agency (NTA).
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As of September 3, 2026, no official notification or circular regarding Delhi University Admissions 2027 has been released by the University of Delhi or the National Testing Agency (NTA). The 2026 admission cycle has concluded, and the 2027 cycle has not yet formally commenced. Based on the previous year's pattern, the process for Delhi University Admissions 2027 is expected to begin with CUET UG 2027 registration around February–March 2027, followed by the exam in May 2027, results in June 2027, and CSAS portal registration opening thereafter. Students aspiring to Shaheed Sukhdev College of Business Studies (CBS) should keep a close watch on du.ac.in for any official announcements. In the meantime, candidates should focus on CUET UG 2027 preparation and ensure they meet the eligibility criteria. No dates are confirmed at this stage.
- CUET UG 2027 registration expected to open around February–March 2027 (last year: opened February 2026)
- CUET UG 2027 exam expected to be held around May 2027 (last year: May 2026)
- DU CSAS (Common Seat Allocation System) portal expected to open around May–June 2027 after CUET UG results (last year: opened May 2026)
- Delhi University Admission 2027 registration on DU portal expected to begin around May–June 2027 (discovery signal suggests May 2027; unconfirmed)
- CUET UG 2027 result expected around June 2027 (last year: June 23, 2026)
- Seat allocation rounds under CSAS expected to begin July–August 2027 (based on previous-year pattern)
Sources: University of Delhi — Official Website
SSCB Admission 2023 Status
| Admission Notification | soon |
| Registration | Soon to start |
| Brochure pdf | yet to release |
Shaheed Sukhdev College of Business Studies Admission 2023 Dates
The candidates can check below in the table dates for Shaheed Sukhdev College of Business Studies Admission 2023:
| Event | Date |
| Application Start date | August 2023 |
| Last date to apply | September 2023 |
Shaheed Sukhdev College Of Business Studies Admission 2023 Eligibility Criteria
Major Changes This Year
No major change has been officially announced yet for Delhi University Admissions 2027. Based on the previous-year pattern, admissions are expected to continue via CUET UG scores and the CSAS (Common Seat Allocation System) portal — the same framework used in 2026. Any revision in eligibility criteria, seat matrix, or application process for Shaheed Sukhdev College of Business Studies or other DU colleges will be confirmed only through an official DU/NTA notification. Students should not act on unverified changes until the official prospectus for 2027 is released on du.ac.in.
Applicant must have completed his/her 10+2 with Mathematics.
- Business Analytics
- Data manipulation using Python
- Data Analysis
- Machine Learning
- Optimization in Analytics
Shaheed College of Business Studies Course Structure
Module 1: Introduction to Business Analytics
- Descriptive Analytics: Explaining and summarizing datasets, measures of central tendency, dispersion, skewness, kurtosis, Correlation.
- Probability: Scope of probability, conditional probability, independent event, Bayes’ theorem, random variable, discrete (binomial, Poisson, geometric, hypergeometric, negative binomial) and continuous (uniform, exponential, normal, gamma). Expectation and variance, Markov inequality, Chebyshev’s inequality, central limit theorem.
- Inferential Statistics: Sampling & Confidence Interval, Inference & Significance. Estimation and Hypothesis Testing, Goodness of fit, Test of Independence, Permutations and Randomization Test, t-test/z-test (one sample, independent, paired), ANOVA, chi-square.
Module 2: Data Manipulation Using Python
In addition to Python Editors & IDE’s (Jupyter, Spyder, pycharm, etc.), custom environment settings, basic data types (numeric, string, float) and their operations, control flow (if-elif-else), loops (for, while), inbuilt actions for data conversion, writing user-defined functions.
- Concept of Packages/ Libraries: Necessary packages such as NumPy, SciPy, sci-kit-learn, Pandas, Matplotlib, Seaborn, etc., installing and loading packages, reading and writing data from/to different formats, tuples, sets, dictionaries, simple plotting, functions, list comprehensions, database connectivity.
Module 3: Data Analysis
Importance in industry, Statistical learning vs machine learning, types and phases of analytics.
- Data Pre Processing and Cleaning: Data manipulation track (sorting, filtering, duplicates, merging, appending, subsetting, derived variables, data type conversions, renaming, formatting, etc.), normalizing data, sampling, missing value treatment, outliers.
Exploratory Data Analysis: Data visualization using matplotlib, seaborn libraries, creating graphs (bar/line/pie/boxplot/histogram, etc.), summarizing data, descriptive statistics, univariate analysis (distribution of data), bivariate analysis (crosstabs, distributions and relationships, graphical analysis).
Addition to Applications of Machine Learning, Key elements of Machine Learning, Supervised vs. Unsupervised Learning.
- Supervised Machine Learning: Linear Regression, Multiple Linear Regression Polynomial Regression.
- Classification: Using Logistic Regression, Logistic Regression vs. Linear Regression, Logistic Regression with one variable and with multiple variables, Application to multi-class classification. The problem of Overfitting, Application of Regularization in Linear and Logistic Regression. Regularization and Bias/Variance. Classification using K-NN, Naive Bayes classifier, Decision Trees (CHAID Analytics), Random Forest, Support Vector Machines.
- Model Evaluation: Cross-validation types (train & test, bootstrapping, k-fold validation), parameter tuning, confusion matrices, basic evaluation metrics, precision-recall, ROC curves.
Module 5: Machine Learning Part- 2
- Neural Networks: Introduction, Model Representation, Gradient Descent vs. Perceptron Training, Stochastic Gradient Descent, Multiclass Representation, Multilayer Perceptrons, Backpropagation Algorithm for Learning, Introduction to Deep Learning.
- Association Rule Mining: Mining frequent itemsets, Apriori algorithm, market basket analysis.
- Unsupervised Machine Learning: Introduction, Clustering, K-Means algorithm, Affinity Propagation, Agglomerative Hierarchical, DBSCAN, Dimensionality Reduction using Principal Component Analysis.
- Time Series Forecasting: Trends and seasonality in time series data, identifying trends, seasonal patterns, first-order differencing, periodicity and autocorrelation, rolling window estimations, stationarity vs. non-stationarity, ARIMA and ARIMAX Modeling.
Module 6: Optimization in Analytics
Addition to Operations Research (OR), Linear Programming Problems (LPP), Geometry of linear programming, Sensitivity and Post-optimal analysis, Duality and its economic interpretation.
Network models and project planning, Non-linear Programming – KKT conditions, Introduction to Stochastic models, Markov models, Classification of states, Steady-state probability, Dynamic Programming.
SSCBS Data Analytics Admission Course fee
| Registration Fee | Rs. 200 |
| Tuition Fee | Rs. 40,000 |
Shaheed Sukhdev College of Business Studies Admission 2023 Highlights
The candidates can check below in the table short details about Shaheed Sukhdev College of Business Studies Admission 2023:
| Admission Name | Shaheed Sukhdev College of Business Studies Admission 2023 |
|---|---|
| University Name | Shaheed Sukhdev College of Business Studies (Delhi University) |
| Level | National Level |
| Official website | https://sscbsdu.ac.in/ |
Frequently Asked Questions
Has Delhi University Admissions 2027 registration started?
No. As of September 3, 2026, DU has not officially opened any registration portal for the 2027 admission cycle. Registration is tentatively expected around May–June 2027.
What exam is required for admission to Shaheed Sukhdev College of Business Studies in 2027?
Based on the existing pattern, admission to Shaheed Sukhdev CBS is expected to be through CUET UG 2027 scores. This is not yet officially confirmed for 2027.
When is the CUET UG 2027 exam expected?
CUET UG 2027 is tentatively expected to be held around May 2027, following previous-year patterns. NTA has not yet released an official schedule.
What is CSAS and when will the DU CSAS portal open for 2027?
CSAS (Common Seat Allocation System) is DU's centralized portal for seat allocation. Based on last year's pattern, it is expected to open around May–June 2027 after CUET UG results. No official date has been announced.
What is the official website for Delhi University Admissions 2027?
The official website is du.ac.in. Students should check it regularly for authentic notifications. Avoid relying solely on third-party education portals.
What documents will I need for DU Admission 2027 at Shaheed Sukhdev CBS?
Based on previous years, you will likely need Class 12 mark sheets, CUET UG scorecard, identity proof, category certificate (if applicable), and passport-size photographs. The official document list will be published in the 2027 prospectus.
What should I do right now to prepare for DU Admission 2027?
Focus on Class 12 studies and start CUET UG 2027 preparation. Monitor du.ac.in and NTA's official site (nta.ac.in) for notifications. Do not rely on unconfirmed dates from third-party sources.
