diff --git a/integration_tests/src/main/python/csv_test.py b/integration_tests/src/main/python/csv_test.py
index 12b4accc7f7..bae076f5a4d 100644
--- a/integration_tests/src/main/python/csv_test.py
+++ b/integration_tests/src/main/python/csv_test.py
@@ -559,13 +559,13 @@ def test_csv_read_count(spark_tmp_path):
 def test_csv_infer_schema_timestamp_ntz_v1(spark_tmp_path, date_format, ts_part, timestamp_type):
     csv_infer_schema_timestamp_ntz(spark_tmp_path, date_format, ts_part, timestamp_type, 'csv', 'FileSourceScanExec')
 
-@allow_non_gpu('FileSourceScanExec', 'CollectLimitExec', 'DeserializeToObjectExec')
+@allow_non_gpu('BatchScanExec', 'FileSourceScanExec', 'ProjectExec', 'CollectLimitExec', 'DeserializeToObjectExec')
 @pytest.mark.skipif(is_before_spark_340(), reason='`TIMESTAMP_NTZ` is only supported in Spark 340+')
 @pytest.mark.parametrize('date_format', csv_supported_date_formats)
 @pytest.mark.parametrize('ts_part', csv_supported_ts_parts)
 @pytest.mark.parametrize("timestamp_type", ["TIMESTAMP_LTZ", "TIMESTAMP_NTZ"])
 def test_csv_infer_schema_timestamp_ntz_v2(spark_tmp_path, date_format, ts_part, timestamp_type):
-    csv_infer_schema_timestamp_ntz(spark_tmp_path, date_format, ts_part, timestamp_type, '', 'FileSourceScanExec')
+    csv_infer_schema_timestamp_ntz(spark_tmp_path, date_format, ts_part, timestamp_type, '', 'BatchScanExec')
 
 def csv_infer_schema_timestamp_ntz(spark_tmp_path, date_format, ts_part, timestamp_type, v1_enabled_list, cpu_scan_class):
     full_format = date_format + ts_part